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Control of Complex Systems

Control of Complex Systems
A Book

by Karl J. Aström,Pedro Albertos,Mogens Blanke,Alberto Isidori,Walther Schaufelberger,Ricardo Sanz

  • Publisher : Springer Science & Business Media
  • Release : 2011-06-28
  • Pages : 482
  • ISBN : 1447103491
  • Language : En, Es, Fr & De
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The world of artificial systems is reaching complexity levels that es cape human understanding. Surface traffic, electricity distribution, air planes, mobile communications, etc. , are examples that demonstrate that we are running into problems that are beyond classical scientific or engi neering knowledge. There is an ongoing world-wide effort to understand these systems and develop models that can capture its behavior. The reason for this work is clear, if our lack of understanding deepens, we will lose our capability to control these systems and make they behave as we want. Researchers from many different fields are trying to understand and develop theories for complex man-made systems. This book presents re search from the perspective of control and systems theory. The book has grown out of activities in the research program Control of Complex Systems (COSY). The program has been sponsored by the Eu ropean Science Foundation (ESF) which for 25 years has been one of the leading players in stimulating scientific research. ESF is a European asso ciation of more than 60 leading national science agencies spanning more than 20 countries. ESF covers has standing committees in Medical Sci ences, Life and Environmental Sciences, Physical and Engineering Sci ences, Humanities and Social Sciences. The COSY program was ESF's first activity in the Engineering Sciences. The program run for a period of five years starting January 1995.

Control of Complex Systems

Control of Complex Systems
Theory and Applications

by Kyriakos Vamvoudakis,Sarangapani Jagannathan

  • Publisher : Butterworth-Heinemann
  • Release : 2016-07-27
  • Pages : 762
  • ISBN : 0128054379
  • Language : En, Es, Fr & De
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In the era of cyber-physical systems, the area of control of complex systems has grown to be one of the hardest in terms of algorithmic design techniques and analytical tools. The 23 chapters, written by international specialists in the field, cover a variety of interests within the broader field of learning, adaptation, optimization and networked control. The editors have grouped these into the following 5 sections: “Introduction and Background on Control Theory”, “Adaptive Control and Neuroscience”, “Adaptive Learning Algorithms”, “Cyber-Physical Systems and Cooperative Control”, “Applications”. The diversity of the research presented gives the reader a unique opportunity to explore a comprehensive overview of a field of great interest to control and system theorists. This book is intended for researchers and control engineers in machine learning, adaptive control, optimization and automatic control systems, including Electrical Engineers, Computer Science Engineers, Mechanical Engineers, Aerospace/Automotive Engineers, and Industrial Engineers. It could be used as a text or reference for advanced courses in complex control systems. • Collection of chapters from several well-known professors and researchers that will showcase their recent work • Presents different state-of-the-art control approaches and theory for complex systems • Gives algorithms that take into consideration the presence of modelling uncertainties, the unavailability of the model, the possibility of cooperative/non-cooperative goals and malicious attacks compromising the security of networked teams • Real system examples and figures throughout, make ideas concrete Includes chapters from several well-known professors and researchers that showcases their recent work Presents different state-of-the-art control approaches and theory for complex systems Explores the presence of modelling uncertainties, the unavailability of the model, the possibility of cooperative/non-cooperative goals, and malicious attacks compromising the security of networked teams Serves as a helpful reference for researchers and control engineers working with machine learning, adaptive control, and automatic control systems

Nonlinear and Adaptive Control of Complex Systems

Nonlinear and Adaptive Control of Complex Systems
A Book

by A.L. Fradkov,I.V. Miroshnik,V.O. Nikiforov

  • Publisher : Springer Science & Business Media
  • Release : 2013-06-29
  • Pages : 510
  • ISBN : 9401592616
  • Language : En, Es, Fr & De
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This volume presents a theoretical framework and control methodology for a class of complex dynamical systems characterised by high state space dimension, multiple inputs and outputs, significant nonlinearity, parametric uncertainty, and unmodeled dynamics. A unique feature of the authors' approach is the combination of rigorous concepts and methods of nonlinear control (invariant and attracting submanifolds, Lyapunov functions, exact linearisation, passification) with approximate decomposition results based on singular perturbations and decentralisation. Some results published previously in the Russian literature and not well known in the West are brought to light. Basic concepts of modern nonlinear control and motivating examples are given. Audience: This book will be useful for researchers, engineers, university lecturers and postgraduate students specialising in the fields of applied mathematics and engineering, such as automatic control, robotics, and control of vibrations.

Decentralized Control of Complex Systems

Decentralized Control of Complex Systems
A Book

by S?iljak

  • Publisher : Academic Press
  • Release : 1991-01-28
  • Pages : 525
  • ISBN : 0080958710
  • Language : En, Es, Fr & De
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Decentralized Control of Complex Systems

Modeling and Control of Complex Systems

Modeling and Control of Complex Systems
A Book

by Petros A. Ioannou,Andreas Pitsillides

  • Publisher : CRC Press
  • Release : 2007-12-26
  • Pages : 544
  • ISBN : 9780849379864
  • Language : En, Es, Fr & De
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Comprehension of complex systems comes from an understanding of not only the behavior of constituent elements but how they act together to form the behavior of the whole. However, given the multidisciplinary nature of complex systems, the scattering of information across different areas creates a chaotic situation for those trying to understand possible solutions and applications. Modeling and Control of Complex Systems brings together a number of research experts to present some of their latest approaches and future research directions in a language accessible to system theorists. Contributors discuss complex systems such as networks for modeling and control of civil structures, vehicles, robots, biomedical systems, fluid flow systems, and home automation systems. Each chapter provides theoretical and methodological descriptions of a specific application in the control of complex systems, including congestion control in computer networks, autonomous multi-robot docking systems, modeling and control in cancer genomics, and backstepping controllers for stabilization of turbulent flow PDEs. With this unique reference, you will discover how complexity is dealt with in different disciplines and learn about the latest methodologies, which are applicable to your own specialty. The balanced mix of theory and simulation presented by Modeling and Control of Complex Systems supplies a strong vehicle for enlarging your knowledge base a fueling future advances and incredible breakthroughs.

Control of Complex Systems

Control of Complex Systems
Methods and Technology

by M. Drouin,M. Mariton,H. Abou-Kandil

  • Publisher : Springer
  • Release : 1991-01-31
  • Pages : 180
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Complex control systems. Basic concepts of discrete-time optimal control theory. Decomposition-coordination methods: a new approach. Application of the direct decomposition method. Optimization of the feedback loop. Process control systems. The impact of technology on control methods.

Decentralized Control of Complex Systems

Decentralized Control of Complex Systems
A Book

by Dragoslav D. Siljak

  • Publisher : Courier Corporation
  • Release : 2013-07-24
  • Pages : 544
  • ISBN : 0486294374
  • Language : En, Es, Fr & De
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This book explores optimization, output feedback, manipulative power of graphs, overlapping decompositions and the underlying inclusion principle, and reliability design. An appendix provides efficient graph algorithms. 1991 edition.

Control of Complex Systems

Control of Complex Systems
Structural Constraints and Uncertainty

by Aleksandar Zecevic,Dragoslav D. Siljak

  • Publisher : Springer Science & Business Media
  • Release : 2010-01-08
  • Pages : 221
  • ISBN : 1441912169
  • Language : En, Es, Fr & De
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"Control of Complex Systems: Structural Constraints and Uncertainty" focuses on control design under information structure constraints, with a particular emphasis on large-scale systems. The complexity of such systems poses serious computational challenges and severely restricts the types of feedback laws that can be used in practice. This book systematically addresses the main issues, and provides a number of applications that illustrate potential design methods, most which use Linear Matrix Inequalities (LMIs), which have become a popular design tool over the past two decades. Authors Aleksandar I. Zecevic and Dragoslav D. Siljak use their years of experience in the control field to also: Address the issues of large-scale systems as they relate to robust control and linear matrix inequalities Discuss a new approach to applying standard LMI techniques to large-scale systems, combining graphic-theoretic decomposition techniques with appropriate low-rank numerical approximations and dramatically reducing the computational effort Providing numerous examples and a wide variety of applications, ranging from electric power systems and nonlinear circuits to mechanical problems and dynamic Boolean networks "Control of Complex Systems: Structural Constraints and Uncertainty" will appeal to practicing engineers, researchers and students working in control design and other related areas.

Complex Systems

Complex Systems
Relationships between Control, Communications and Computing

by Georgi M. Dimirovski

  • Publisher : Springer
  • Release : 2016-05-19
  • Pages : 652
  • ISBN : 3319288601
  • Language : En, Es, Fr & De
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This book gives a wide-ranging description of the many facets of complex dynamic networks and systems within an infrastructure provided by integrated control and supervision: envisioning, design, experimental exploration, and implementation. The theoretical contributions and the case studies presented can reach control goals beyond those of stabilization and output regulation or even of adaptive control. Reporting on work of the Control of Complex Systems (COSY) research program, Complex Systems follows from and expands upon an earlier collection: Control of Complex Systems by introducing novel theoretical techniques for hard-to-control networks and systems. The major common feature of all the superficially diverse contributions encompassed by this book is that of spotting and exploiting possible areas of mutual reinforcement between control, computing and communications. These help readers to achieve not only robust stable plant system operation but also properties such as collective adaptivity, integrity and survivability at the same time retaining desired performance quality. Applications in the individual chapters are drawn from: • the general implementation of model-based diagnosis and systems engineering in medical technology, in communication, and in power and airport networks; • the creation of biologically inspired control brains and safety-critical human–machine systems, • process-industrial uses; • biped robots; • large space structures and unmanned aerial vehicles; and • precision servomechanisms and other advanced technologies. Complex Systems provides researchers from engineering, applied mathematics and computer science backgrounds with innovative theoretical and practical insights into the state-of-the-art of complex networks and systems research. It employs physical implementations and extensive computer simulations. Graduate students specializing in complex-systems research will also learn much from this collection./pp

Variable Structure Control of Complex Systems

Variable Structure Control of Complex Systems
Analysis and Design

by Xing-Gang Yan,Sarah K. Spurgeon,Christopher Edwards

  • Publisher : Springer
  • Release : 2016-12-05
  • Pages : 350
  • ISBN : 3319489623
  • Language : En, Es, Fr & De
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This book systematizes recent research work on variable-structure control. It is self-contained, presenting necessary mathematical preliminaries so that the theoretical developments can be easily understood by a broad readership. The text begins with an introduction to the fundamental ideas of variable-structure control pertinent to their application in complex nonlinear systems. In the core of the book, the authors lay out an approach, suitable for a large class of systems, that deals with system uncertainties with nonlinear bounds. Its treatment of complex systems in which limited measurement information is available makes the results developed convenient to implement. Various case-study applications are described, from aerospace, through power systems to river pollution control with supporting simulations to aid the transition from mathematical theory to engineering practicalities. The book addresses systems with nonlinearities, time delays and interconnections and considers issues such as stabilization, observer design, and fault detection and isolation. It makes extensive use of numerical and practical examples to render its ideas more readily absorbed. Variable-Structure Control of Complex Systems will be of interest to academic researchers studying control theory and its application in nonlinear, time-delayed an modular large-scale systems; the robustness of its approach will also be attractive to control engineers working in industries associate with aerospace, electrical and mechanical engineering.

Handbook of Research on Modeling, Analysis, and Control of Complex Systems

Handbook of Research on Modeling, Analysis, and Control of Complex Systems
A Book

by Ahmad Taher Azar,Nashwa Ahmad Kamal

  • Publisher : Engineering Science Reference
  • Release : 2020-09
  • Pages : 329
  • ISBN : 1799857905
  • Language : En, Es, Fr & De
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"This book is mainly focused on the recent achievements and applications in the field of control and analysis for complex systems with a special emphasis on how to solve various control design and/or observer design problems for nonlinear systems, interconnected systems, and singular systems and involves modeling, non-ideal systems and applications, synchronization, and control for nonlinear systems, such as mechanical, electrical, electromechanical, mechatronic, and very complex systems"--

Predictive Approaches to Control of Complex Systems

Predictive Approaches to Control of Complex Systems
A Book

by Gorazd Karer,Igor Škrjanc

  • Publisher : Springer
  • Release : 2012-09-20
  • Pages : 260
  • ISBN : 3642339476
  • Language : En, Es, Fr & De
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A predictive control algorithm uses a model of the controlled system to predict the system behavior for various input scenarios and determines the most appropriate inputs accordingly. Predictive controllers are suitable for a wide range of systems; therefore, their advantages are especially evident when dealing with relatively complex systems, such as nonlinear, constrained, hybrid, multivariate systems etc. However, designing a predictive control strategy for a complex system is generally a difficult task, because all relevant dynamical phenomena have to be considered. Establishing a suitable model of the system is an essential part of predictive control design. Classic modeling and identification approaches based on linear-systems theory are generally inappropriate for complex systems; hence, models that are able to appropriately consider complex dynamical properties have to be employed in a predictive control algorithm. This book first introduces some modeling frameworks, which can encompass the most frequently encountered complex dynamical phenomena and are practically applicable in the proposed predictive control approaches. Furthermore, unsupervised learning methods that can be used for complex-system identification are treated. Finally, several useful predictive control algorithms for complex systems are proposed and their particular advantages and drawbacks are discussed. The presented modeling, identification and control approaches are complemented by illustrative examples. The book is aimed towards researches and postgraduate students interested in modeling, identification and control, as well as towards control engineers needing practically usable advanced control methods for complex systems.

Complex Systems and Networks

Complex Systems and Networks
Dynamics, Controls and Applications

by Jinhu Lü,Xinghuo Yu,Guanrong Chen,Wenwu Yu

  • Publisher : Springer
  • Release : 2015-08-14
  • Pages : 482
  • ISBN : 3662478242
  • Language : En, Es, Fr & De
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This elementary book provides some state-of-the-art research results on broad disciplinary sciences on complex networks. It presents an in-depth study with detailed description of dynamics, controls and applications of complex networks. The contents of this book can be summarized as follows. First, the dynamics of complex networks, for example, the cluster dynamic analysis by using kernel spectral methods, community detection algorithms in bipartite networks, epidemiological modeling with demographics and epidemic spreading on multi-layer networks, are studied. Second, the controls of complex networks are investigated including topics like distributed finite-time cooperative control of multi-agent systems by applying homogenous-degree and Lyapunov methods, composite finite-time containment control for disturbed second-order multi-agent systems, fractional-order observer design of multi-agent systems, chaos control and anticontrol of complex systems via Parrondos game and many more. Third, the applications of complex networks provide some applicable carriers, which show the importance of theories developed in complex networks. In particular, a general model for studying time evolution of transition networks, deflection routing in complex networks, recommender systems for social networks analysis and mining, strategy selection in networked evolutionary games, integration and methods in computational biology, are discussed in detail.

Advances in State Estimation, Diagnosis and Control of Complex Systems

Advances in State Estimation, Diagnosis and Control of Complex Systems
A Book

by Ye Wang

  • Publisher : Unknown Publisher
  • Release : 2018
  • Pages : 303
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Control of Complex Nonlinear Systems with Delay

Control of Complex Nonlinear Systems with Delay
A Book

by Philipp Hövel

  • Publisher : Springer Science & Business Media
  • Release : 2010-09-27
  • Pages : 253
  • ISBN : 9783642141102
  • Language : En, Es, Fr & De
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This research addresses delay effects in nonlinear systems, which are ubiquitous in various fields of physics, chemistry, biology, engineering, and even in social and economic systems. They may arise as a result of processing times or due to the finite propagation speed of information between the constituents of a complex system. Time delay has two complementary, counterintuitive and almost contradictory facets. On the one hand, delay is able to induce instabilities, bifurcations of periodic and more complicated orbits, multi-stability and chaotic motion. On the other hand, it can suppress instabilities, stabilize unstable stationary or periodic states and may control complex chaotic dynamics. This thesis deals with both aspects, and presents novel fundamental results on the controllability of nonlinear dynamics by time-delayed feedback, as well as applications to lasers, hybrid-mechanical systems, and coupled neural systems.

Modelling, Estimation and Control of Networked Complex Systems

Modelling, Estimation and Control of Networked Complex Systems
A Book

by Alessandro Chiuso,Luigi Fortuna,Mattia Frasca,Alessandro Rizzo,Luca Schenato,Sandro Zampieri

  • Publisher : Springer Science & Business Media
  • Release : 2009-09-02
  • Pages : 238
  • ISBN : 3642031986
  • Language : En, Es, Fr & De
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The paradigm of complexity is pervading both science and engineering, le- ing to the emergence of novel approaches oriented at the development of a systemic view of the phenomena under study; the de?nition of powerful tools for modelling, estimation, and control; and the cross-fertilization of di?erent disciplines and approaches. One of the most promising paradigms to cope with complexity is that of networked systems. Complex, dynamical networks are powerful tools to model, estimate, and control many interesting phenomena, like agent coordination, synch- nization, social and economics events, networks of critical infrastructures, resourcesallocation,informationprocessing,controlovercommunicationn- works, etc. Advances in this ?eld are highlighting approaches that are more and more oftenbasedondynamicalandtime-varyingnetworks,i.e.networksconsisting of dynamical nodes with links that can change over time. Moreover, recent technological advances in wireless communication and decreasing cost and size of electronic devices are promoting the appearance of large inexpensive interconnected systems, each with computational, sensing and mobile ca- bilities. This is fostering the development of many engineering applications, which exploit the availability of these systems of systems to monitor and control very large-scale phenomena with ?ne resolution.

Distributed Control of Complex Interconnected Systems

Distributed Control of Complex Interconnected Systems
A Convex Approach

by Cédric Langbort

  • Publisher : Unknown Publisher
  • Release : 2005
  • Pages : 290
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Many modern engineering problems involve a large number of interacting units. When controlling such systems, the classical approach that consists in lumping all subsystems together and controlling them as a single large-scale system is not always appropriate. For example, in the case of an automated highway or formation flight; it seems more reasonable to regulate the system by equipping each vehicle with its own controller than to rely on a centralized control authority that observes and acts on all units at once.

Control and Modeling of Complex Systems

Control and Modeling of Complex Systems
Cybernetics in the 21st Century Festschrift in Honor of Hidenori Kimura on the Occasion of his 60th Birthday

by Koichi Hashimoto,Yutaka Yamamoto,Yasuaki Oishi

  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • Pages : 337
  • ISBN : 1461200237
  • Language : En, Es, Fr & De
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Hidenori Kimura, renowned system and control theorist, turned 60 years of age in November, 2001. To celebrate this memorable occasion, his friends, collaborators, and former students gathered from all over the world and held a symposium in his honor on November 1 and 2, 2001, at the Sanjo Conference Hall at the University of Tokyo. Reflecting his current research interests, the symposium was entitled "Cybernetics in the 21st Century: Information and Complexity in Control Theory," and it drew nearly 150 attendees. There were twenty-five lectures, on which the present volume is based. Hidenori Kimura was born on November 3, 1941, in Tokyo, just prior to the outbreak of the Second World War. It is not hard to imagine, then, that his early days, like those of so many of his contemporaries, must have been difficult. Fortunately, the war ended in 1945, and his generation found itself thoroughly occupied with the rebuilding effort and with Japan's uphill journey in the last half-century. He entered the University of Tokyo in 1963, received a B. S. in 1965, an M. S. in 1967, and, in 1970, a Ph. D. degree for his dissertation "A Study of Differential Games. " After obtaining his doctorate, he joined the Department of Control En gineering at Osaka University as a research associate, and in 1973 he was promoted to an associate professor.

Design and Control of Self-organizing Systems

Design and Control of Self-organizing Systems
A Book

by Carlos Gershenson

  • Publisher : CopIt ArXives
  • Release : 2007-09-05
  • Pages : 329
  • ISBN : 0983117233
  • Language : En, Es, Fr & De
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Complex systems are usually difficult to design and control. There are several particular methods for coping with complexity, but there is no general approach to build complex systems. In this book I propose a methodology to aid engineers in the design and control of complex systems. This is based on the description of systems as self-organizing. Starting from the agent metaphor, the methodology proposes a conceptual framework and a series of steps to follow to find proper mechanisms that will promote elements to find solutions by actively interacting among themselves.

Complex Systems in Sport

Complex Systems in Sport
A Book

by Keith Davids,Robert Hristovski,Duarte Araújo,Natalia Balague Serre,Chris Button,Pedro Passos

  • Publisher : Routledge
  • Release : 2013-11-20
  • Pages : 346
  • ISBN : 1136482156
  • Language : En, Es, Fr & De
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Complex systems in nature are those with many interacting parts, all capable of influencing global system outcomes. There is a growing body of research that has modeled sport performance from a complexity sciences perspective, studying the behavior of individual athletes and sports teams as emergent phenomena which self-organise under interacting constraints. This book is the first to bring together experts studying complex systems in the context of sport from across the world to collate core theoretical ideas, current methodologies and existing data into one comprehensive resource. It offers new methods of analysis for investigating representative complex sport movements and actions at an individual and team level, exploring the application of methodologies from the complexity sciences in the context of sports performance and the organization of sport practice. Complex Systems in Sport is important reading for any advanced student or researcher working in sport and exercise science, sports coaching, kinesiology or human movement.