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The aim of this track is to bring together the wide communities working on different aspects of CPS-based future industrial systems. The development of such systems and their impact on industrial systems is still under study. This track intends to be the place for a crossover between the different topics that are addressed in this objective, from logistics to automation, from Multi-Agent or Cybernetic Systems to human factors. Flow control rapidly progresses by exciting multidisciplinary activities with researchers from fluid mechanics, physics, applied mathematics, computer sciences machine learning and control theory.

Each discipline brings in its own knowledge and understandings of the problem. This track shall fertilize cross-disciplinary interactions. Topics covered include but not limited theoretical, numerical and experimental developments on flow control with :. The track offers an opportunity to present the recent results and applications regarding model-based diagnosis techniques with various related issues: diagnosability analysis, online diagnosis, state estimation, etc. From the early developments of the A program, thanks to Fly-By-Wire systems, Automatic Control techniques have significantly contributed to improve flight performance and safety of civilian aircraft.

Today, most of the flight segments can be managed quite efficiently by the autopilot. However, the final approach and landing phases still remain critical in poor visibility and strong wind conditions. Based on a realistic nonlinear model of a civil transport aircraft in full configuration, the objective of the proposed challenge is to design an autopilot system to enable a correct landing despite parametric variations and maximized cross wind conditions. The model together with trimming and linearization routines and a baseline controller can be downloaded from the SMAC project website w3.

Web site: w3. The distributed parameter description in terms of partial differential equations PDEs is an essential ingredient of the modeling and analysis process if the spatial or property-related distribution of the process variables can no longer be neglected. As a result, control and observer design has to explicitly take into account the resulting spatial temporal system dynamics. With the proposed open invited track entitled ,,Recent trends in modeling, estimation and control with PDEs'' the organizers aim to realize a joint forum addressing the very recent developments in this field.

To foster the methodological developments it is desired to also include application papers that provide case studies illustrating and confirming the increasing interest in modeling, estimation and control approaches for systems governed by PDEs. These characteristics lead to specific decision processes which have to take into account not only demand but also quality, material, and temporal variabilities. Moreover, the inherent divergent production processes also induce specificities in decision processes.

This open invited track is aimed at decision, innovation, and quality control processes relative to the first and the second wood transformation processes, from wood supply to final products distribution. Hably, A. Trofino, M. Diehl, L. Today, a thriving multi-disciplinary community of researchers and technologists in academia and industry all over the world is well-established. The delivered research results are gradually assessing and eliminating feasibility risks and improving our understanding of airborne wind energy systems, ultimately bringing these concepts closer and closer to industrialization.

The claimed advantages of these systems are lower installation costs, higher capacity factors, higher density of generated power per unit area of occupied land, and higher flexibility with respect to the current established renewable technologies, up to a level that could render airborne wind energy competitive with fossil fuels without the need for political and economic incentives. Airborne wind energy is also an umbrella name for a series of different technologies, which all share the peculiarity that the energy-harvesting component of the system is not supported by a static, rigid structure, rather it is linked to the ground by tethers and kept airborne by means of automatic control systems.

Indeed, a common aspect of all airborne wind energy systems is the crucial role played by control, in its broader sense. Modeling, identification, estimation, control and optimization methods are enabling the development of this field, which at the same time is presenting new challenges to the controls community. The goal of this open track session at the IFAC World Congress is to bring together researchers from industry and academia to present and share their latest advancements and discuss the current and future research and development needs in this timely and thriving field.

Negenborn, S. Sacone, S. The efficient management of this type of transport requires very complex and sophisticated optimization and control methods. This Open Track for the IFAC World Congress will provide an opportunity for researchers to discuss and compare innovative control approaches for integrated synchromodal freight transport, as well as for distributed control for seaport hubs, container terminal, and intermodal terminals; distributed control for road vehicles and road networks; distributed control for vessels, locks, and water networks; and distributed control for rail systems, trains and rail networks.

Barkana, A. Fradkov, I. Mizumoto Abstract: Since the s, control engineers seek for solutions avoiding the need for large dynamical order and complex computations and, therefore, better suitable for application in real world systems. Designers often call their findings 'Simple Adaptive Control'. According to Web of Science more than papers in peer reviewed journals have words Simple Adaptive Control in the title currently. The proposed OIT invites prospective authors to present both their contributions to the theoretical problems related to stability and performance and the detailed presentation of their particular applications dealing with adaptive controllers of low dynamical order with small number of tuned parameters.

The topics will cover several areas concerning LPV systems: modelling, analysis, observation, control and diagnosis. Some of the important keywords include:. Schoukens, J-P. They are a Bouc-Wen hysteretic system, a Wiener-Hammerstein system with process noise, and a cascaded tanks setup, respectively. The invited track website functions as a platform providing detailed information regarding the three benchmark problems, and making available numerical and experimental data sets together with identification and validation guidelines.

The invited track follows the success of the Workshop on Nonlinear System Identification Benchmarks organised in Brussels, April , , on the same subject. Solicited contributions should describe solutions to one or several of these benchmark problems. In particular, comparative overviews of methods would be particularly appreciated. The objective of this invited track is to advance the current knowledge in nonlinear system identification by encouraging the exchange of ideas and the establishment of formal collaborations between the systems and control, mechanical and machine learning communities.

These three communities have developed over the years various and numerous nonlinear modeling approaches driven by the different backgrounds, constraints and end-uses. Moreover, they generally focus on different aspects of the modeling problem as they face different limiting factors in terms of model quality and identification cost. This is why we believe that, by promoting interaction through the benchmark setups, significant benefit can be mutually gained.

Dimarogonas, Jana Tumova Abstract: Recent developments in hybrid control synthesis for single-robot systems have enabled the consideration of rich objectives and at the same time provable guarantees on their satisfaction, both in static and dynamic environments. The adoption of this framework in multi-robot systems is, however, not straightforward.

While centralized approaches are computationally infeasible, distributed approaches are challenging due to dependencies between the agents and collaborative nature of the desired tasks. This invited track aims to present recent advances on the fusion of cooperative control and discrete task planning in multi-robot systems leading towards an efficient, distributed, adaptive control synthesis framework for multi-agent systems with rich objectives. There are multiple aspects driving the research on this topic and which have witnessed significant advances: control problem formulations that lead to efficient embedded optimization algorithms; developments on the numerical methods; computer aided embedded optimization tools; embedded optimization software and hardware implementation technologies.

This open invited track session will welcome contributions on these topics and offer a forum for discussions between the participants from industry and academia. Nonetheless, so many issues still need to be taken into a deeper consideration, such as, the physical meaning, initial value problem, and infinite energy storage. We believe, beneficial uses of this versatile mathematical tool of fractional order calculus in practical applications are possible and even indispensable, and fractional order calculus may become an enabler for new science discoveries.

As the only fractional order session in IFAC world congress, this track, with its revealing content and up-to-date developments, joins the utmost proof for this distinctive tendency of adoption of fractional order calculus. It is our sincere hope that this track will become a milestone of a significant trend in the future development of classical and modern control theory. The smart report written by the international climate group recommends to intensively deploy Information and Communication Technologies ICT both for enhancing the monitoring of environment and human activities industry, building, transport, etc.

Moreover, the traditional methodologies in distributed system engineering have to be adapted and reviewed for minimizing the ICT footprint on the environment in terms of carbon emission, radio wave propagation, waste, technological pollution, energy efficiency, resource reuse, etc. Thus, ICT system engineering has to be globally rethought in the context of new business paradigm as the circular economy. The major effort of Engineering focuses then on the resource efficiency.

The aim of this track is to bring together different communities working on different aspects of complex networked systems. The track will discuss some fundamental issues on control of complex networks, including controllability and observability of complex networks, mathematical and algorithmic tools for analysis and design of large-scale networked systems, and potential applications to real-world systems. Several frameworks have been developed, and these can be applied to a myriad of engineering systems that operate repeatedly on the same trajectory, especially in manufacturing, robotics, data storage systems, process control, etc.

In a highly Web environment, these teams have to use and invent new solutions to improve knowledge transfer, storage and retrieval. The technologies and methods continue to get more and more diverse. At the same time, the types of online communities with high levels of interaction become more and more multi-dimensional. To optimize organizational performance and further promote knowledge innovation and knowledge management in industrial organizations, new and expanded strategies for sharing knowledge within and between knowledge communities are required.

This track offers the opportunity to exchange ideas about new knowledge management applications. The track will allow sharing experiences and interacting between researchers and engineers. Both theoretical and application results are sought for.

Model‐based vs data‐driven adaptive control: An overview

A second objective of the session is to provide a platform for academic and industrial communities to exchange their latest results and to identify main issues and challenges for future investigation on time scale theory for dynamical systems. Aging populations have put increased stress on medical resources with a greater demand for critical care and other acute care treatment starting to exceed availability in many first world nations.

At the same time, the past 20 years have seen a tremendous growth in the application of technology to clinical practice, as well as in the computing power available in every-day and medical devices. However, despite these changes, the practice of medicine, particularly in the diagnostic and therapy selection parts of practice have seen little change in the past 30 years.

At the same time clinical practice is under increasing strain due to limited resources. Hence there is significant opportunity to augment and partially automate diagnosis and therapy selection using patient specific modeling. This opportunity is particularly relevant in high cost acute care wards, such as the intensive care unit ICU , where significant clinical decisions must be made rapidly by staff under increasing demand for their time. However applications can spread across a variety of clinical wards and outpatient settings, as well as across a variety of biological systems not restricted just to humans.

Hence, there has been some recent growth in the use of models to help test and evaluate new hypotheses in the physiological development of diseases. This trend has been most notable in the analysis of drug therapy pharmacokinetics and in the study of metabolic disorders. This session therefore examines the application of models to medical practice, in both research and clinical practice, through all critical modeling steps from model derivation to patient specific parameter identification to the clinical validation. The goal of research in this area is to unleash the potential of patient specific physiological or systems biology models to improve care.

Given the growing potential for the clinical use of such model-based methods, it is a good time to examine them in greater detail. This session therefore examines the application of models to medical practice, in both research and clinical practice, through all critical modeling steps from model derivation to patient specific parameter identification to the clinical validation with a focus on the medical devices and systems used to provide that care.

This session thus takes a very clinical applications oriented approach, including examining problems that arise from different types of clinical data, as well as the impact on outcomes. Thus, fault diagnosis and fault-tolerant control are extremely important in this emerging area. Lyapunov to Systems and Control Theory.

Lyapunov will be celebrated in the th anniversary of his birth, years since the first publication of his seminal memoir "Obshchaya zadacha ob ustoichivosti dvizheniya" The general problem of the stability of motion printed in Russian by the Mathematical Society of Kharkov, and years since the appearance of the French translation of his work published in the Annales de la Faculte des Sciences de l'Universite de Toulouse. This open track is dedicated to the impact of Lyapunov's ideas on the modern control theory.

It offers an opportunity to the new generations of control scientists to discover the history of Lyapunov's framework and people that played a major role in its development. The topics of this open track cover, but are not limited to:. The track will discuss some fundamental issues on control of complex systems, including application of soft computing techniques, heuristic optimization, intelligent approaches, both for system modelling and control design, and potential applications to real-world systems.


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Moreover, it has been found that the dynamical behavior of many complex systems can be properly described by fractional order models. Such tool has been extensively applied in many fields which has seen an overwhelming growth in the last decade. The special session is intended to review new developments based on the fractional differentiation, both on theoretical and application aspects. This special session is a place for researchers and practitioners sharing ideas on the theories, applications, numerical methods and simulations of fractional calculus and fractional differential equations.

About this book

Our interested topics are enumerated in the below and submissions in the relevant fields are welcome. The topics of interest include, but are not limited to:. Water systems are in the center of Human societies. Water resource is used for drinking water, irrigation, industry, transport. It has to be valorized after its use thanks to waste treatment systems.

In several parts of the world, the management of water networks will be impacted by climate change. The scarcity and the precious value of water will be increased in a close future.


  1. [LANDAU] Adaptive Control - Algorithms, Analysis and Applications.
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  7. Hence, the efficient management of water networks is still an ongoing challenge for the Automatic Control community. The design of efficient water management strategies can gather multidisciplinary activities with researchers from computer sciences machine learning, Artificial Intelligence and control theory.

    Artificial intelligence for control engineering

    This track offers the opportunity to exchange ideas and interact between researchers and water managers. Topics of the track include but are no limited to:. This field has far wider scope than its first applications to aerospace engineering would suggest, and now embraces areas where the dynamical models describe chemical reactors process control , vehicles traffic flow control , wind generators and solar panels power systems control or might even describe virtual economic systems relating management decisions to economic consequences over time econometrics and resource economics.

    The pressure to develop more efficient processes in order to meet the demands of next generation technology is leading to problems of increasing size and complexity. Despite the great progress in the development of numerical solution methods in the last decades, the increasing complexity of models and control tasks triggers a constant demand for more and more efficient methods. Another main challenge in the field of optimization-based controller design is to develop numerical algorithms that are sufficiently fast and accurate for the much-needed techno-logical developments, in numerous industrial sectors.

    This open invited track will bring together leading researchers who are working on optimization-based controller design, who combine expertise in theoretical, numerical and application oriented aspects of the field. The aim is to discuss some of the recent developments of the field and to stimulate future advances. Domestic environments are considered, which are in essence not shaped for robots and entail uncontrolled experimental conditions illumination changes, projected shadows, acoustic noise, etc.

    The developed algorithms will be publicly demonstrated during live experiments on Pepper platforms. To help authors to prepare their papers and source code, the website mentioned here below provides a downloadable software development kit and simulator, as well as additional information.

    This session aims i to explore the possibilities of integration of the operational production plans, information flow and the financial SC, ii to offer new business models for supply chain financing, iii to determine financial incentives and operations decisions, iv to asset financial risks and their impacts on SC operations. Main research themes: forecasting capital and liquidity needs, financial solutions for the SC financing platforms, SC finance, This event will also celebrate the 60'th birthday of IFAC. Indisputably, IFAC WC is the good event to collect international contributions in an historical open invited track dedicated to the challenges won in Aerospace engineering, thanks to Automatic control.

    The scope of this open invited track is to capitalize and exchange the feedback gained from the past major developments and major programs dedicated to control systems in the field of Aeronautical and Astronautical engineering. The contributions aiming to propose the new challenges for the next decades based on the experience gained from the past will be also very well appreciated.

    Whereas computing for control is well-established domain, the converse : control for computing systems, is a novel approach, explored only in the recent years. The aim of this open invited track is to propose a multi-disciplinary gathering around computing systems as a new application area for Control Theory, with challenges in modeling of these unfamiliar systems, and identification of the relevant control techniques for problems where automation has not been introduced yet.

    This also concerns any kind of supply chains. The aim of this track is to bring together leading experts on performance measurement and management for industrial systems to exchange ideas by making state-of-the-art analyses of their respective fields and presenting latest advances and results in their specific research domains. Recent developments in the area of intelligent autonomous vehicles aim at performing complex navigation and motion tasks in cooperation with other vehicles, human operated systems, and its environment.

    This Open Invited Track is available to gather all scientific contributions to be presented at the World Congress in the dedicated Automotive Advanced Control Demonstrators sessions. This Open Invited Track aims at combining industrial and academic automotive demonstrators. All scientific fields, methodologies and applicable technologies of automatic control are concerned, including:.

    Associated scientific demonstrator papers will have the same status as any other IFAC contribution. A specific international scientific committee will be in charge of evaluation of these contributions. Papers that fall in the demonstrator category will be presented in dedicated sessions. Web site: www. Ensuring security and privacy of such systems from malicious attackers is critical.

    Recent surge of research activities in cyber-physical security of networked cyber-physical systems confirms the need and importance of such research. In the proposed invited session, we are soliciting contributions that investigate security and privacy of multi-agent networked cyber-physical systems from a variety of view-points, such as i cyber-physical security of networked control systems, ii game-theoretic security and privacy of networked systems, iii information-theoretic security and privacy of cyber-physical systems, as well as application-specific investigations in large-scale process control systems, smart grid and industrial automation for example.

    Rapid advancements in sensing, computing, and communication technologies, and their increasing adoption, are opening up possibilities to develop deeper insights into traffic dynamics, and to estimate and control traffic in real-time. The proper utilization of these new opportunities has the potential to improve the performance of traffic systems, reduce delays, minimize environmental impact, and increase safety. The objective of this open invited track is to gather representatives from academia to share and discuss ideas on the state of the art, novel theoretical approaches, and practical applications within the field of traffic modeling, estimation and control, especially in the context of emerging technologies.

    Recent advances on RTO include conditions guaranteeing plant optimality upon convergence based on first-order modification of the optimization problem; conditions guaranteeing feasibility of the whole sequence of RTO iterates, and methods which allow combining data-driven approaches with existing first-principle models. While these developments aim at optimizing steady-state performance based on steady-state measurements, a complementary direction of researchproposes the use of transient measurements to tackle the same problem for instance via extremum-seeking concepts.

    The track welcomes contributions on theory and application aspects of RTO. The track specifically aims to bring together researchers working on different RTO methods. This way, it shall provide a platform for presenting theoretical and application-oriented contributions, and it shall foster discussions on new ideas regarding the development of tailored RTO schemes for uncertain process systems. These advances enable real-world implementation of NMPC algorithms for control and coordination of multi-agent mechatronic systems. The proposed open invited track focuses particularly on optimization-based predictive control of nonlinear systems collecting latest improvements on implementation and theory develop-ment with respect to mechatronic applications.

    Amongst others the intended contributions will present novel results on: generalized NMPC formulations combining path-following with force-feedback for robotic manipulators, the issue of stability in path-following NMPC, new updating techniques real-time iterations and sensitivities exploiting the geometry of mechatronic control problems, and new distrib-uted NMPC schemes targeting the coordination of multi-agent mechatronic systems.

    The track specifi-cally aims to bring together researchers from academia and industry. This way, it shall provide a plat-form for presenting theoretical and application-oriented contributions, and it shall foster new ideas and collaborations regarding the tailored design of NMPC for mechatronic systems and motion control problems.

    These systems suggest however several challenges for the control research community, as they exhibit a large panoply of complex phenomena to be dealt with, like high frequency resonances, nonlinearities, noises in. Modelling and control methodologies for these mechatronic systems are now well-established, but only few of them are benefiting from advanced methods high order dynamical models, robust or nonlinear control.

    The aim of this open invited track is to create the opportunity of bringing together control and micro-nano sciences communities around challenges and methodologies issued from different types of such systems. Papers presenting feasibility results of modelling and control methods on simulated models inspired from nanosciences and nanorobotics or even real-time applications are well suited for this open invited track.

    Advances in controls are making wind turbines more efficient, more reliable, and more cost-effective. Wind turbines have evolved from passively controlled machines to actively controlled machines, and more recently, to distributed machines controlled collectively wind farms. With this open session, we invite researchers to present their latest results in wind energy control. The attendees of these sessions will learn how controls research can make substantial contributions to wind energy, and they will also get an overview of the latest developments and open issues.

    Example contributions include: "smart" rotor control, lidar-based control, control of floating turbines, wind farm control, and active power control. Researches in this field are driven by the needs of many applicative fields such as robotics and aerospace. In this open invited track session, we will focus on the landing phase of aerial vehicles. This track will offer the opportunity to present some recent results on vision based control and their applications to the problem of landing softly and precisely.

    A huge number of active units including wind farms, solar farms, small distributed energy resources DERs , electric vehicles, energy storage systems and flexible loads are being integrated into power systems through power electronic converters. This imposes great challenges to the stability, scalability, reliability, security and resiliency of future power systems. Hence, it is vital to develop appropriate control architecture and technologies so that all these different players are able to take part in the regulation of future power systems in an autonomous and responsible way.

    This is also true for other smaller-scale power systems, e.

    Control theory

    The control of power electronic converters lies in the heart of these applications and many other energy-related systems. Specific difficulties encountered in the hospital sector are:. It may be induced naturally by the use of specific technological components composing the system or through the geometry of specific slender structures. Regardless of the origin of flexibility, such mechatronic systems have a range of deformations and constraints that depend on their topology and the nature of materials used.

    The combination of mass and stiffness, linked to an exchange between kinetic energy and elastic deformation energy, entails oscillating dynamic behavior.

    Control theory - Wikipedia

    Instrumentation, advanced control and optimal design methodologies can overcome these limitations in some cases. In addition, flexible structures can be manufactured as monolithic 2D parts as well as 3D parts, thanks to rapid advances on additive manufacturing. This technology simplifies the manufacturing procedures and reduces by the way the number of parts required for a given design.

    The aim of this open invited track is to create the opportunity of bringing together control and mechanical sciences communities around challenges and methodologies issued from such systems. Papers presenting feasibility results of mechanical design and control methodologies on simulated models or real physical systems are well suited for this open invited track. Topics include but not limited to:. Thus, the optimal design and management of assembly systems is crucial to achieve production efficiency, product quality and customer satisfaction. A remarkable opportunity to target these goals and to develop a brand new generation of assembly systems is represented by the current trends in automation, information and communication technology and virtualization of manufacturing processes, known as Industry 4.

    The implementation of Industry 4. These system elements communicate and cooperate with each other and with humans in real time, monitoring physical processes and creating a virtual copy of the physical assembly process to enable quick and decentralized decisions. Beneficial effects are a significant improvement of flexibility and speed of the whole assembly system, that enables to achieve more customized products, an efficient and scalable production and a high variance in production control.

    Last but not least, proper optimization models, control algorithms, automation technologies and management methods have to be developed to allow the aforementioned smart cyber physical systems of self-optimization, self-configuration, self-diagnosis and intelligent support to workers in their increasingly complex tasks. This Open invited track seeks original manuscripts to investigate the design and management of "Assembly systems 4.

    Adaptive Control : Algorithms, Analysis and Applications

    It is not enough to execute a pre-programmed action line. They must be able to adapt to changing environments, make their own decisions and in addition, they might have to socially fit into the human environment. They have to follow regulations developed originally for human beings. It means that new problems of control are emerging and have to be solved.

    Machine Learning Control: Tuning a PID Controller with Genetic Algorithms

    This Open invited track provides an opportunity to present and discuss research and development work in the hot area of intelligent autonomous systems. Researchers and practitioners in the field of land, air and marine robotics are brought together to discuss common problems of theoretical and practical applications, describe scientific and commercial applications and explore the possibilities for future research. In the last decade, new results on tensor based algorithms have been achieved in applied mathematics.

    Additionally, numerical tools e. This open invited track welcomes all application and theory related submissions showing the use of tensor methods for modelling, data analysis, representation, reduction, supervisory controller design, fault diagnosis and reconfiguration in control engineering. The proposed Open Invited Track has the objective of collecting contributions related to optimization and control methods for the planning and management of smart grids that include renewable energy, storage systems, distributed generation, buildings with demand response capabilities, microgrids, etc.

    The application and testing of the proposed approaches to real case studies and research infrastructures are encouraged. Fuzzy-model-based control provides a systematic and efficient approach to the analysis and control of nonlinear systems. It has been employed to deal with a wide range of nonlinear control systems such as continuous-time, discrete-time, hybrid, sampled-data, time-delay, switching, adaptive control systems and so on. However, there is still room for improvement of the existing results in order to propose new techniques for control.

    This open invited track focuses mainly on the fuzzy-model-based control systems and analysis with emphasis on the theory and applications. The important problems and difficulties on the fuzzy-model-based control systems will be addressed, its concepts will be provided and methodologies will be proposed to handle nonlinear systems using fuzzy-model-based control approaches. The session will cover classical Takagi-Sugeno and polynomial fuzzy models for stability, control and estimation, representing an important field of the TC 3.

    Consequently, model based diagnosis approaches must take into account both discrete and continuous dynamics as well as the interactions between them in order to achieve correct fault diagnosis. In addition, in HDS, two types of faults may occur: parametric and discrete faults. Parametric faults occur as abnormal changes in the value of parameters describing the continuous dynamics while discrete faults are defined as unexpected, abnormal, changes in the system discrete mode. Discrete event systems approaches deal with discrete faults; while continuous systems approaches deal with parametric faults.

    HDS approaches need to deal with both arametric and discrete faults, and this significantly increases the task of monitoring and diagnosing faults in the system. This open invited track aims at bringing together researchers working on the fault diagnosis of HDS. The track will provide the researchers with a forum for exchanging ideas, presenting recent advances and discussing challenges related to fault diagnosis of HDS. The list of topics includes but is not limited to: Maintenance strategies, maintenance services, PHM, event detection, diagnosis, prognosis, decision support, dependability, asset and maintenance management, e-maintenance and emerging technologies, reliability and statistical approaches in maintenance, maintenance within production, condition monitoring and sensors and life cycle management and sustainability.

    Decision making models can apply optimization, simulation, or hybrid methods and approaches. At the same time, intelligent systems are composed by data acquisition, transformation, as well as communication systems embedded in technological devices. The proper exchange of data between the operational planning and intelligent systems allows for the emergence of adaptive, agile and resilient supply chains. The session will cover the technology-based integration of different supply chain tasks, such as: production planning and scheduling, transportation and logistics planning and scheduling, inventory planning, manufacturing systems as well as coupled services and technologies which can lead to improved supply chains.

    Track topics: The track chairs invite scientists, engineers and decision makers from government, industry and academia to contribute with theoretical and applied research papers. The aim of this session is to attract high-quality papers in areas including but not limited to the following topics: Inventory control, production planning and scheduling; Supply chains and networks; Simulation technologies inmanufacturing; Operations Research in manufacturing; Modeling, simulation, control and monitoring of manufacturing processes; Monitoring, diagnosis and maintenance of manufacturing systems; Smart manufacturing systems; Maintainability, reliability, safety and dependability of production systems.

    Special attention willbe directed towards practical relevance and approaches that can foster innovation in manufacturing supply chains. Many core problems in these areas are still open, and considerable research work is required to address and solve them.


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    The complexity of the problems at hand requires a multifaceted approach to system analysis and design to exploit the use of methods and tools from dynamical systems theory, automatic control, networked systems, identification and estimation, computer vision, communications, sensing and measurements to yield practical systems capable of executing complex scientific and commercial missions at sea in an efficient and reliable manner.

    For these reasons, there is considerable interest in bringing together the marine robotics community and specialists on a number of complementary areas includingautomatic control and related topics to foster new synergies and promote joint research activities aimed at solving practical problems with far reaching implications on scientific, commercial, and societal marine-related issues.

    It is against this backdrop of ideas that we submit an invited open track proposal entitled Marine and Maritime Robotics: Innovation and Challenges, aimed atbringing attention to this exciting field of research and promoting the cross fertilization of ideas required to bring new theoretical and practical advances to bear on the development of innovative systems. Recent incidents with essential large-scale services like electric power grids, transportation systems, communication networks, oil and gas pipelines, water distribution systems show that the negative economic and humanitarian impact of such attacks can be considerable.

    Modern SCADA systems can be attacked externally and internally at different levels: communication network, supervisory control level, and also technical physical processes by using physical breach. The cyber-physical attacks, i. In the framework of this track, a special attention will be paid to statistical detection methods and machine learning methods for attack detection. These efforts are motivated by the availability of vast data sets, emerging from large networks of sensors and data collection. Goodwin, Maria M. Moog and Anna M.

    Fu, Jiaqiao Hu and Steven I. Ananievski and Sergey A. Lozano hds. Enquiries concerning reproduction outside those terms should be sent to the publishers. The use of registered names, trademarks, etc. The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made. The main characteristic of these techniques is the ability to extract significant information from real data in order to tune the controller and they feature a mechanism for adjusting the parameters of either the plant model or the controller.

    The history of adaptive control is long, significant progress in under- standing and applying its ideas having begun in the early nineteen-seventies. The growing availability of digital computers has also contributed to the progression of the field.

    The early applications provided important feedback for the development of the field and theoretical innovations allowed a number of basic problems to be solved.