Discrete Networked Dynamic Systems

Discrete Networked Dynamic Systems
Author: Magdi S. Mahmoud,Yuanqing Xia
Publsiher: Academic Press
Total Pages: 484
Release: 2020-11-09
ISBN: 012823699X
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Discrete Networked Dynamic Systems Book Excerpt:

Discrete Networked Dynamic Systems: Analysis and Performance provides a high-level treatment of a general class of linear discrete-time dynamic systems interconnected over an information network, exchanging relative state measurements or output measurements. It presents a systematic analysis of the material and provides an account to the math development in a unified way. The topics in this book are structured along four dimensions: Agent, Environment, Interaction, and Organization, while keeping global (system-centered) and local (agent-centered) viewpoints. The focus is on the wide-sense consensus problem in discrete networked dynamic systems. The authors rely heavily on algebraic graph theory and topology to derive their results. It is known that graphs play an important role in the analysis of interactions between multiagent/distributed systems. Graph-theoretic analysis provides insight into how topological interactions play a role in achieving coordination among agents. Numerous types of graphs exist in the literature, depending on the edge set of G. A simple graph has no self-loop or edges. Complete graphs are simple graphs with an edge connecting any pair of vertices. The vertex set in a bipartite graph can be partitioned into disjoint non-empty vertex sets, whereby there is an edge connecting every vertex in one set to every vertex in the other set. Random graphs have fixed vertex sets, but the edge set exhibits stochastic behavior modeled by probability functions. Much of the studies in coordination control are based on deterministic/fixed graphs, switching graphs, and random graphs. This book addresses advanced analytical tools for characterization control, estimation and design of networked dynamic systems over fixed, probabilistic and time-varying graphs Provides coherent results on adopting a set-theoretic framework for critically examining problems of the analysis, performance and design of discrete distributed systems over graphs Deals with both homogeneous and heterogeneous systems to guarantee the generality of design results

Control Theory of Digitally Networked Dynamic Systems

Control Theory of Digitally Networked Dynamic Systems
Author: Jan Lunze
Publsiher: Springer Science & Business Media
Total Pages: 394
Release: 2013-07-06
ISBN: 3319011316
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Control Theory of Digitally Networked Dynamic Systems Book Excerpt:

The book gives an introduction to networked control systems and describes new modeling paradigms, analysis methods for event-driven, digitally networked systems, and design methods for distributed estimation and control. Networked model predictive control is developed as a means to tolerate time delays and packet loss brought about by the communication network. In event-based control the traditional periodic sampling is replaced by state-dependent triggering schemes. Novel methods for multi-agent systems ensure complete or clustered synchrony of agents with identical or with individual dynamics. The book includes numerous references to the most recent literature. Many methods are illustrated by numerical examples or experimental results.

Control Design of Multiagent Discrete Time Systems

Control Design of Multiagent Discrete Time Systems
Author: MagdiSadek Mahmoud,Bilal J. Karaki
Publsiher: Springer Nature
Total Pages: 452
Release: 2022-03-16
ISBN: 3030909409
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Control Design of Multiagent Discrete Time Systems Book Excerpt:

This book describes an effective approach to the cooperative and coordinated control of multivehicle systems. This rigorous analytic approach guarantees the stability of coordinated and cooperating vehicles using distributed protocols and uses low-energy, event-triggered mechanisms for networked vehicle control. The text covers: design of a cooperative protocol to achieve consensus for multivehicle systems, allowing cooperation that is resistant to the effects of packet loss and/or adversarial attack; analysis and synthesis of an event-triggering mechanism for cooperative multivehicle systems over uncertain networks; and the problem of distributed leader-following consensus and methods for compelling multivehicle systems to reach consensus. Throughout the book, cooperation problems are transformed into stability problems. Lyapunov theory is used to guarantee cooperation among agents. The distributed approach is applied to triggering mechanisms, the cooperation process, and the impact of cyber-attacks. Discrete-time analysis shows how the event-based structure can be designed to match the performance of continuous-time counterparts. The book details applications and computer simulation with several practical examples. This book is of interest to a wide audience from the graduate student, through the academic researcher to the industrial practitioner, all of them sharing a common interest in the stability and security of multiagent systems.

Modelling Analysis and Control of Networked Dynamical Systems

Modelling  Analysis  and Control of Networked Dynamical Systems
Author: Ziyang Meng
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN: 3030846822
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Modelling Analysis and Control of Networked Dynamical Systems Book Excerpt:

Performance Analysis and Synthesis for Discrete Time Stochastic Systems with Network Enhanced Complexities

Performance Analysis and Synthesis for Discrete Time Stochastic Systems with Network Enhanced Complexities
Author: Derui Ding,Zidong Wang,Guoliang Wei
Publsiher: CRC Press
Total Pages: 249
Release: 2018-10-11
ISBN: 0429880022
Category: Mathematics
Language: EN, FR, DE, ES & NL

Performance Analysis and Synthesis for Discrete Time Stochastic Systems with Network Enhanced Complexities Book Excerpt:

The book addresses the system performance with a focus on the network-enhanced complexities and developing the engineering-oriented design framework of controllers and filters with potential applications in system sciences, control engineering and signal processing areas. Therefore, it provides a unified treatment on the analysis and synthesis for discrete-time stochastic systems with guarantee of certain performances against network-enhanced complexities with applications in sensor networks and mobile robotics. Such a result will be of great importance in the development of novel control and filtering theories including industrial impact. Key Features Provides original methodologies and emerging concepts to deal with latest issues in the control and filtering with an emphasis on a variety of network-enhanced complexities Gives results of stochastic control and filtering distributed control and filtering, and security control of complex networked systems Captures the essence of performance analysis and synthesis for stochastic control and filtering Concepts and performance indexes proposed reflect the requirements of engineering practice Methodologies developed in this book include backward recursive Riccati difference equation approach and the discrete-time version of input-to-state stability in probability

Recent Advances in Control Problems of Dynamical Systems and Networks

Recent Advances in Control Problems of Dynamical Systems and Networks
Author: Ju H. Park
Publsiher: Springer Nature
Total Pages: 527
Release: 2020-08-11
ISBN: 3030491234
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Recent Advances in Control Problems of Dynamical Systems and Networks Book Excerpt:

This edited book introduces readers to new analytical techniques and controller design schemes used to solve the emerging “hottest” problems in dynamic control systems and networks. In recent years, the study of dynamic systems and networks has faced major changes and challenges with the rapid advancement of IT technology, accompanied by the 4th Industrial Revolution. Many new factors that now have to be considered, and which haven’t been addressed from control engineering perspectives to date, are naturally emerging as the systems become more complex and networked. The general scope of this book includes the modeling of the system itself and uncertainty elements, examining stability under various criteria, and controller design techniques to achieve specific control objectives in various dynamic systems and networks. In terms of traditional stability matters, this includes the following special issues: finite-time stability and stabilization, consensus/synchronization, fault-tolerant control, event-triggered control, and sampled-data control for classical linear/nonlinear systems, interconnected systems, fractional-order systems, switched systems, neural networks, and complex networks. In terms of introducing graduate students and professional researchers studying control engineering and applied mathematics to the latest research trends in the areas mentioned above, this book offers an excellent guide.

Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals

Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals
Author: Ju H. Park,Hao Shen,Xiao-Heng Chang,Tae H. Lee
Publsiher: Springer
Total Pages: 226
Release: 2018-08-09
ISBN: 3319962027
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals Book Excerpt:

This book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advanced to achieve even better performance. However, this evolutionary advance in dynamic systems also leads to unavoidable constraints. In particular, such elements in control systems involve uncertainties, communication/transmission delays, external noise, sensor faults and failures, data packet dropouts, sampling and quantization errors, and switching phenomena, which have serious effects on the system’s stability and performance. This book discusses how to deal with such constraints to guarantee the system’s design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention. It also provides a number of practical examples to show the applicability of the presented methods and techniques. This book is of interest to graduate students, researchers and professors, as well as R&D engineers involved in control theory and applications looking to analyze dynamical systems with constraints and to synthesize various types of corresponding controllers and filters for optimal performance of feedback systems.

Efficient Modeling and Control of Large Scale Systems

Efficient Modeling and Control of Large Scale Systems
Author: Javad Mohammadpour,Karolos M. Grigoriadis
Publsiher: Springer Science & Business Media
Total Pages: 335
Release: 2010-06-23
ISBN: 144195757X
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Efficient Modeling and Control of Large Scale Systems Book Excerpt:

Complexity and dynamic order of controlled engineering systems is constantly increasing. Complex large scale systems (where "large" reflects the system’s order and not necessarily its physical size) appear in many engineering fields, such as micro-electromechanics, manufacturing, aerospace, civil engineering and power engineering. Modeling of these systems often result in very high-order models imposing great challenges to the analysis, design and control problems. "Efficient Modeling and Control of Large-Scale Systems" compiles state-of-the-art contributions on recent analytical and computational methods for addressing model reduction, performance analysis and feedback control design for such systems. Also addressed at length are new theoretical developments, novel computational approaches and illustrative applications to various fields, along with: - An interdisciplinary focus emphasizing methods and approaches that can be commonly applied in various engineering fields -Examinations of applications in various fields including micro-electromechanical systems (MEMS), manufacturing processes, power networks, traffic control "Efficient Modeling and Control of Large-Scale Systems" is an ideal volume for engineers and researchers working in the fields of control and dynamic systems.

Analysis and Synthesis of Networked Control Systems

Analysis and Synthesis of Networked Control Systems
Author: Yuanqing Xia,Mengyin Fu,Guo-Ping Liu
Publsiher: Springer Science & Business Media
Total Pages: 200
Release: 2011-03-14
ISBN: 364217924X
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Analysis and Synthesis of Networked Control Systems Book Excerpt:

Analysis and Synthesis of Networked Control Systems focuses on essential aspects of this field, including quantization over networks, data fusion over networks, predictive control over networks and fault detection over networks. The networked control systems have led to a complete new range of real-world applications. In recent years, the techniques of Internet of Things are developed rapidly, the research of networked control systems plays a key role in Internet of Things. The book is self-contained, providing sufficient mathematical foundations for understanding the contents of each chapter. It will be of significant interest to scientists and engineers engaged in the field of Networked Control Systems. Dr. Yuanqing Xia, a professor at Beijing Institute of Technology, has been working on control theory and its applications for over ten years.

Optimal Networked Control Systems with MATLAB

Optimal Networked Control Systems with MATLAB
Author: Jagannathan Sarangapani,Hao Xu
Publsiher: CRC Press
Total Pages: 335
Release: 2018-09-03
ISBN: 1482235269
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Optimal Networked Control Systems with MATLAB Book Excerpt:

Optimal Networked Control Systems with MATLAB® discusses optimal controller design in discrete time for networked control systems (NCS). The authors apply several powerful modern control techniques in discrete time to the design of intelligent controllers for such NCS. Detailed derivations, rigorous stability proofs, computer simulation examples, and downloadable MATLAB® codes are included for each case. The book begins by providing background on NCS, networked imperfections, dynamical systems, stability theory, and stochastic optimal adaptive controllers in discrete time for linear and nonlinear systems. It lays the foundation for reinforcement learning-based optimal adaptive controller use for finite and infinite horizons. The text then: Introduces quantization effects for linear and nonlinear NCS, describing the design of stochastic adaptive controllers for a class of linear and nonlinear systems Presents two-player zero-sum game-theoretic formulation for linear systems in input–output form enclosed by a communication network Addresses the stochastic optimal control of nonlinear NCS by using neuro dynamic programming Explores stochastic optimal design for nonlinear two-player zero-sum games under communication constraints Treats an event-sampled distributed NCS to minimize transmission of state and control signals within the feedback loop via the communication network Covers distributed joint optimal network scheduling and control design for wireless NCS, as well as the effect of network protocols on the wireless NCS controller design An ideal reference for graduate students, university researchers, and practicing engineers, Optimal Networked Control Systems with MATLAB® instills a solid understanding of neural network controllers and how to build them.

Networked Filtering and Fusion in Wireless Sensor Networks

Networked Filtering and Fusion in Wireless Sensor Networks
Author: Magdi S. Mahmoud,Yuanqing Xia
Publsiher: CRC Press
Total Pages: 576
Release: 2014-12-20
ISBN: 1482250977
Category: Computers
Language: EN, FR, DE, ES & NL

Networked Filtering and Fusion in Wireless Sensor Networks Book Excerpt:

By exploiting the synergies among available data, information fusion can reduce data traffic, filter noisy measurements, and make predictions and inferences about a monitored entity. Networked Filtering and Fusion in Wireless Sensor Networks introduces the subject of multi-sensor fusion as the method of choice for implementing distributed systems. The book examines the state of the art in information fusion. It presents the known methods, algorithms, architectures, and models of information fusion and discusses their applicability in the context of wireless sensor networks (WSNs). Paying particular attention to the wide range of topics that have been covered in recent literature, the text presents the results of a number of typical case studies. Complete with research supported elements and comprehensive references, this teaching-oriented volume uses standard scientific terminology, conventions, and notations throughout. It applies recently developed convex optimization theory and highly efficient algorithms in estimation fusion to open up discussion and provide researchers with an ideal starting point for further research on distributed estimation and fusion for WSNs. The book supplies a cohesive overview of the key results of theory and applications of information-fusion-related problems in networked systems in a unified framework. Providing advanced mathematical treatment of fundamental problems with information fusion, it will help you broaden your understanding of prospective applications and how to address such problems in practice. After reading the book, you will gain the understanding required to model parts of dynamic systems and use those models to develop distributed fusion control algorithms that are based on feedback control theory.

Fault Detection Supervision and Safety of Technical Processes 2006

Fault Detection  Supervision and Safety of Technical Processes 2006
Author: Hong-Yue Zhang
Publsiher: Elsevier
Total Pages: 1576
Release: 2007-03-01
ISBN: 9780080555393
Category: Science
Language: EN, FR, DE, ES & NL

Fault Detection Supervision and Safety of Technical Processes 2006 Book Excerpt:

The safe and reliable operation of technical systems is of great significance for the protection of human life and health, the environment, and of the vested economic value. The correct functioning of those systems has a profound impact also on production cost and product quality. The early detection of faults is critical in avoiding performance degradation and damage to the machinery or human life. Accurate diagnosis then helps to make the right decisions on emergency actions and repairs. Fault detection and diagnosis (FDD) has developed into a major area of research, at the intersection of systems and control engineering, artificial intelligence, applied mathematics and statistics, and such application fields as chemical, electrical, mechanical and aerospace engineering. IFAC has recognized the significance of FDD by launching a triennial symposium series dedicated to the subject. The SAFEPROCESS Symposium is organized every three years since the first symposium held in Baden-Baden in 1991. SAFEPROCESS 2006, the 6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes was held in Beijing, PR China. The program included three plenary papers, two semi-plenary papers, two industrial talks by internationally recognized experts and 258 regular papers, which have been selected out of a total of 387 regular and invited papers submitted. * Discusses the developments and future challenges in all aspects of fault diagnosis and fault tolerant control * 8 invited and 36 contributed sessions included with a special session on the demonstration of process monitoring and diagnostic software tools

Computational Intelligence Networked Systems and Their Applications

Computational Intelligence  Networked Systems and Their Applications
Author: Minrui Fei,Chen Peng,Zhou Su,Yang Song,Qinglong Han
Publsiher: Springer
Total Pages: 588
Release: 2014-10-01
ISBN: 3662452618
Category: Computers
Language: EN, FR, DE, ES & NL

Computational Intelligence Networked Systems and Their Applications Book Excerpt:

This book constitutes the second part of the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2014, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, held in Shanghai, China, in September 2014. The 159 revised full papers presented in the three volumes of CCIS 461-463 were carefully reviewed and selected from 572 submissions. The papers of this volume are organized in topical sections on advanced neural network theory and algorithms; advanced evolutionary computing theory and algorithms, such as particle swarm optimization, differential evolution, ant colonies, artificial life, artificial immune systems and genetic algorithm; fuzzy, neural, and fuzzy-neuro hybrids; intelligent modeling, monitoring, and control of complex nonlinear systems; intelligent modeling and simulation of climate change; communication and control for distributed networked systems.

A Quadratic Constraint Approach to Model Predictive Control of Interconnected Systems

A Quadratic Constraint Approach to Model Predictive Control of Interconnected Systems
Author: Anthony Tri Tran C.,Quang Ha
Publsiher: Springer
Total Pages: 236
Release: 2018-03-06
ISBN: 9811084092
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

A Quadratic Constraint Approach to Model Predictive Control of Interconnected Systems Book Excerpt:

This book focuses on the stabilization and model predictive control of interconnected systems with mixed connection configurations. It introduces the concept of dissipation-based quadratic constraint for developing attractivity assurance methods for interconnected systems. In order to develop these methods, distributed and decentralized architectures are employed, whereby the communication between subsystems is fully connected, partially connected, or completely disconnected. Given that the control inputs are entirely or partially decoupled between subsystems and no additional constraints are imposed on the interactive variables beyond the coupling constraint itself, the proposed approaches can be used with various types of systems and applications. Further, the book describes how the effects of coupling delays and data losses in device networks are resolved. From a practical perspective, the innovations presented are of benefit in applications in a broad range of fields, including the process and manufacturing industries, networked robotics, and network-centric systems such as chemical process systems, power systems, telecommunication networks, transportation networks, and, no less importantly, supply chain automation.

Control Theory of Digitally Networked Dynamic Systems

Control Theory of Digitally Networked Dynamic Systems
Author: Jan Lunze
Publsiher: Unknown
Total Pages: 414
Release: 2013-07-31
ISBN: 9783319011325
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Control Theory of Digitally Networked Dynamic Systems Book Excerpt:

Distributed Energy Resources Management 2018

Distributed Energy Resources Management 2018
Author: Pedro Faria,Zita Vale
Publsiher: MDPI
Total Pages: 286
Release: 2020-01-21
ISBN: 3039281704
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Distributed Energy Resources Management 2018 Book Excerpt:

The Special Issue Distributed Energy Resources Management 2018 includes 13 papers, and is a continuation of the Special Issue Distributed Energy Resources Management. The success of the previous edition shows the unquestionable relevance of distributed energy resources in the operation of power and energy systems at both the distribution level and at the wider power system level. Improving the management of distributed energy resources makes it possible to accommodate the higher penetration of intermittent distributed generation and electric vehicle charging. Demand response programs, namely the ones with a distributed nature, allow the consumers to contribute to the increased system efficiency while receiving benefits. This book addresses the management of distributed energy resources, with a focus on methods and techniques to achieve an optimized operation, in order to aggregate the resources namely in the scope of virtual power players and other types of aggregators, and to remunerate them. The integration of distributed resources in electricity markets is also addressed as an enabler for their increased and efficient use.

Recursive Filtering for 2 D Shift Varying Systems with Communication Constraints

Recursive Filtering for 2 D Shift Varying Systems with Communication Constraints
Author: Jinling Liang,Zidong Wang,Fan Wang
Publsiher: CRC Press
Total Pages: 244
Release: 2021-09-06
ISBN: 100042930X
Category: Computers
Language: EN, FR, DE, ES & NL

Recursive Filtering for 2 D Shift Varying Systems with Communication Constraints Book Excerpt:

This book presents up-to-date research developments and novel methodologies regarding recursive filtering for 2-D shift-varying systems with various communication constraints. It investigates recursive filter/estimator design and performance analysis by a combination of intensive stochastic analysis, recursive Riccati-like equations, variance-constrained approach, and mathematical induction. Each chapter considers dynamics of the system, subtle design of filter gains, and effects of the communication constraints on filtering performance. Effectiveness of the derived theories and applicability of the developed filtering strategies are illustrated via simulation examples and practical insight. Features:- Covers recent advances of recursive filtering for 2-D shift-varying systems subjected to communication constraints from the engineering perspective. Includes the recursive filter design, resilience operation and performance analysis for the considered 2-D shift-varying systems. Captures the essence of the design for 2-D recursive filters. Develops a series of latest results about the robust Kalman filtering and protocol-based filtering. Analyzes recursive filter design and filtering performance for the considered systems. This book aims at graduate students and researchers in mechanical engineering, industrial engineering, communications networks, applied mathematics, robotics and control systems.

Dynamic Systems with Time Delays Stability and Control

Dynamic Systems with Time Delays  Stability and Control
Author: Ju H. Park,Tae H. Lee,Yajuan Liu,Jun Chen
Publsiher: Springer Nature
Total Pages: 335
Release: 2019-08-29
ISBN: 9811392544
Category: Science
Language: EN, FR, DE, ES & NL

Dynamic Systems with Time Delays Stability and Control Book Excerpt:

This book presents up-to-date research developments and novel methodologies to solve various stability and control problems of dynamic systems with time delays. First, it provides the new introduction of integral and summation inequalities for stability analysis of nominal time-delay systems in continuous and discrete time domain, and presents corresponding stability conditions for the nominal system and an applicable nonlinear system. Next, it investigates several control problems for dynamic systems with delays including H(infinity) control problem Event-triggered control problems; Dynamic output feedback control problems; Reliable sampled-data control problems. Finally, some application topics covering filtering, state estimation, and synchronization are considered. The book will be a valuable resource and guide for graduate students, scientists, and engineers in the system sciences and control communities.

Proceedings of 2019 Chinese Intelligent Systems Conference

Proceedings of 2019 Chinese Intelligent Systems Conference
Author: Yingmin Jia,Junping Du,Weicun Zhang
Publsiher: Springer Nature
Total Pages: 751
Release: 2019-09-07
ISBN: 9813296984
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Proceedings of 2019 Chinese Intelligent Systems Conference Book Excerpt:

This book showcases new theoretical findings and techniques in the field of intelligent systems and control. It presents in-depth studies on a number of major topics, including: Multi-Agent Systems, Complex Networks, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control, Guidance, Navigation and Control of Aerial Vehicles, and so on. Given its scope, the book will benefit all researchers, engineers, and graduate students who want to learn about cutting-edge advances in intelligent systems, intelligent control, and artificial intelligence.

Complex Systems

Complex Systems
Author: Georgi M. Dimirovski
Publsiher: Springer
Total Pages: 652
Release: 2016-05-19
ISBN: 3319288601
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Complex Systems Book Excerpt:

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