# Discrete Networked Dynamic Systems

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## Discrete Networked Dynamic Systems

Author | : Magdi S. Mahmoud,Yuanqing Xia |

Publsiher | : Academic Press |

Total Pages | : 484 |

Release | : 2020-11-09 |

ISBN 10 | : 012823699X |

ISBN 13 | : 9780128236994 |

Language | : EN, FR, DE, ES & NL |

**Discrete Networked Dynamic Systems Book Review:**

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

Author | : Jan Lunze |

Publsiher | : Springer Science & Business Media |

Total Pages | : 394 |

Release | : 2013-07-06 |

ISBN 10 | : 3319011316 |

ISBN 13 | : 9783319011318 |

Language | : EN, FR, DE, ES & NL |

**Control Theory of Digitally Networked Dynamic Systems Book Review:**

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

Author | : MagdiSadek Mahmoud |

Publsiher | : Springer Nature |

Total Pages | : 135 |

Release | : 2022 |

ISBN 10 | : 3030909409 |

ISBN 13 | : 9783030909406 |

Language | : EN, FR, DE, ES & NL |

**Control Design of Multiagent Discrete Time Systems Book Review:**

## Autonomous and cooperative control of networked discrete event systems

Author | : Markus Zgorzelski |

Publsiher | : Logos Verlag Berlin GmbH |

Total Pages | : 221 |

Release | : 2020-08-28 |

ISBN 10 | : 3832551522 |

ISBN 13 | : 9783832551520 |

Language | : EN, FR, DE, ES & NL |

**Autonomous and cooperative control of networked discrete event systems Book Review:**

This thesis considers networked discrete-event systems. The overall system is a network of subsystems, each of which includes a technical process modelled by an I/O automaton together with a controller and a network unit. These subsystems are interconnected by physical couplings and digital communication links. An important characteristic of the networked discreteevent systems is the partial autonomy of the subsystems, which is reflected by the fact that each subsystem solves its local tasks individually. Cooperation among the subsystems becomes necessary if physical couplings or control specifications have to be resolved by two or more subsystems in order to satisfy the local tasks. Hence, the subsystems participate in satisfying cooperative tasks by adapting their behaviours while using the communication network without a coordinator. In these situations the following question arises: When and what information has to be exchanged by the subsystems and what should the structure of the communication network look like? As a main result of this thesis, it is proved that the subsystems in the networked discrete-event system determine deadlock-free execution orders of cooperative tasks with distributed model information by using the communication network and solving their local tasks. The applicability of the cooperative control solution is demonstrated by means of a collaborative process at the Handling System HANS. Markus Zgorzelski received his Bachelor in Electrical Engineering and Information Science from the Ruhr-Universität Bochum in 2011 and he received his Masters in Electrical Engineering and Information Science from the Ruhr-Universität Bochum in 2014. From 2014 to 2020 he was a scientific co-worker at the Institute of Automation and Computer Control, where he obtained his PhD. His research was focused on networked discrete-event systems.

## 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 10 | : 3319962027 |

ISBN 13 | : 9783319962023 |

Language | : EN, FR, DE, ES & NL |

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

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.

## 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 10 | : 0429880022 |

ISBN 13 | : 9780429880025 |

Language | : EN, FR, DE, ES & NL |

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

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

Author | : Ju H. Park |

Publsiher | : Springer Nature |

Total Pages | : 527 |

Release | : 2020-08-11 |

ISBN 10 | : 3030491234 |

ISBN 13 | : 9783030491239 |

Language | : EN, FR, DE, ES & NL |

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

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.

## 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 10 | : 144195757X |

ISBN 13 | : 9781441957573 |

Language | : EN, FR, DE, ES & NL |

**Efficient Modeling and Control of Large Scale Systems Book Review:**

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

Author | : Yuanqing Xia,Mengyin Fu,Guo-Ping Liu |

Publsiher | : Springer Science & Business Media |

Total Pages | : 200 |

Release | : 2011-03-14 |

ISBN 10 | : 364217924X |

ISBN 13 | : 9783642179242 |

Language | : EN, FR, DE, ES & NL |

**Analysis and Synthesis of Networked Control Systems Book Review:**

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

Author | : Jagannathan Sarangapani,Hao Xu |

Publsiher | : CRC Press |

Total Pages | : 335 |

Release | : 2018-09-03 |

ISBN 10 | : 1482235269 |

ISBN 13 | : 9781482235265 |

Language | : EN, FR, DE, ES & NL |

**Optimal Networked Control Systems with MATLAB Book Review:**

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

Author | : Magdi S. Mahmoud,Yuanqing Xia |

Publsiher | : CRC Press |

Total Pages | : 576 |

Release | : 2014-12-20 |

ISBN 10 | : 1482250977 |

ISBN 13 | : 9781482250978 |

Language | : EN, FR, DE, ES & NL |

**Networked Filtering and Fusion in Wireless Sensor Networks Book Review:**

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

Author | : Hong-Yue Zhang |

Publsiher | : Elsevier |

Total Pages | : 1576 |

Release | : 2007-03-01 |

ISBN 10 | : 9780080555393 |

ISBN 13 | : 008055539X |

Language | : EN, FR, DE, ES & NL |

**Fault Detection Supervision and Safety of Technical Processes 2006 Book Review:**

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

Author | : Minrui Fei,Chen Peng,Zhou Su,Yang Song,Qinglong Han |

Publsiher | : Springer |

Total Pages | : 588 |

Release | : 2014-10-01 |

ISBN 10 | : 3662452618 |

ISBN 13 | : 9783662452615 |

Language | : EN, FR, DE, ES & NL |

**Computational Intelligence Networked Systems and Their Applications Book Review:**

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

Author | : Anthony Tri Tran C.,Quang Ha |

Publsiher | : Springer |

Total Pages | : 236 |

Release | : 2018-03-06 |

ISBN 10 | : 9811084092 |

ISBN 13 | : 9789811084096 |

Language | : EN, FR, DE, ES & NL |

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

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.

## Event Trigger Dynamic State Estimation for Practical WAMS Applications in Smart Grid

Author | : Zhen Li,Sen Li,Tyrone Fernando,Xi Chen |

Publsiher | : Springer Nature |

Total Pages | : 285 |

Release | : 2020-06-03 |

ISBN 10 | : 3030456587 |

ISBN 13 | : 9783030456580 |

Language | : EN, FR, DE, ES & NL |

**Event Trigger Dynamic State Estimation for Practical WAMS Applications in Smart Grid Book Review:**

This book describes how dynamic state estimation application in wide-area measurement systems (WAMS) are crucial for power system reliability, to acquire precisely power system dynamics. The event trigger DSE techniques described by the authors provide a design balance between the communication rate and estimation performance, by selectively sending the innovational data. The discussion also includes practical problems for smart grid applications, such as the non-Gaussian process/measurement noise, packet dropout, computation burden of accurate DSE, robustness to the system variation, etc. Readers will learn how the event trigger DSE can facilitate the effective reduction of communication rates, with guaranteed accuracy under a variety of practical conditions in smart grid applications.

## Distributed Energy Resources Management 2018

Author | : Pedro Faria,Zita Vale |

Publsiher | : MDPI |

Total Pages | : 286 |

Release | : 2020-01-21 |

ISBN 10 | : 3039281704 |

ISBN 13 | : 9783039281701 |

Language | : EN, FR, DE, ES & NL |

**Distributed Energy Resources Management 2018 Book Review:**

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.

## Networked Control Systems

Author | : Alberto Bemporad,Maurice Heemels,Mikael Vejdemo-Johansson |

Publsiher | : Springer Science & Business Media |

Total Pages | : 366 |

Release | : 2010-10-14 |

ISBN 10 | : 0857290320 |

ISBN 13 | : 9780857290328 |

Language | : EN, FR, DE, ES & NL |

**Networked Control Systems Book Review:**

This book nds its origin in the WIDE PhD School on Networked Control Systems, which we organized in July 2009 in Siena, Italy. Having gathered experts on all the aspects of networked control systems, it was a small step to go from the summer school to the book, certainly given the enthusiasm of the lecturers at the school. We felt that a book collecting overviewson the important developmentsand open pr- lems in the eld of networked control systems could stimulate and support future research in this appealing area. Given the tremendouscurrentinterests in distributed control exploiting wired and wireless communication networks, the time seemed to be right for the book that lies now in front of you. The goal of the book is to set out the core techniques and tools that are ava- able for the modeling, analysis and design of networked control systems. Roughly speaking, the book consists of three parts. The rst part presents architectures for distributed control systems and models of wired and wireless communication n- works. In particular, in the rst chapter important technological and architectural aspects on distributed control systems are discussed. The second chapter provides insight in the behavior of communication channels in terms of delays, packet loss and information constraints leading to suitable modeling paradigms for commu- cation networks.

## Handbook of Networked and Embedded Control Systems

Author | : Dimitrios Hristu-Varsakelis,William S. Levine |

Publsiher | : Springer Science & Business Media |

Total Pages | : 822 |

Release | : 2007-11-14 |

ISBN 10 | : 0817644040 |

ISBN 13 | : 9780817644048 |

Language | : EN, FR, DE, ES & NL |

**Handbook of Networked and Embedded Control Systems Book Review:**

The vast majority of control systems built today are embedded; that is, they rely on built-in, special-purpose digital computers to close their feedback loops. Embedded systems are common in aircraft, factories, chemical processing plants, and even in cars–a single high-end automobile may contain over eighty different computers. The design of embedded controllers and of the intricate, automated communication networks that support them raises many new questions—practical, as well as theoretical—about network protocols, compatibility of operating systems, and ways to maximize the effectiveness of the embedded hardware. This handbook, the first of its kind, provides engineers, computer scientists, mathematicians, and students a broad, comprehensive source of information and technology to address many questions and aspects of embedded and networked control. Separated into six main sections—Fundamentals, Hardware, Software, Theory, Networking, and Applications—this work unifies into a single reference many scattered articles, websites, and specification sheets. Also included are case studies, experiments, and examples that give a multifaceted view of the subject, encompassing computation and communication considerations.

## Model Based Control of Networked Systems

Author | : Eloy Garcia,Panos J. Antsaklis,Luis A. Montestruque |

Publsiher | : Springer |

Total Pages | : 382 |

Release | : 2014-08-08 |

ISBN 10 | : 3319078038 |

ISBN 13 | : 9783319078038 |

Language | : EN, FR, DE, ES & NL |

**Model Based Control of Networked Systems Book Review:**

This monograph introduces a class of networked control systems (NCS) called model-based networked control systems (MB-NCS) and presents various architectures and control strategies designed to improve the performance of NCS. The overall performance of NCS considers the appropriate use of network resources, particularly network bandwidth, in conjunction with the desired response of the system being controlled. The book begins with a detailed description of the basic MB-NCS architecture that provides stability conditions in terms of state feedback updates. It also covers typical problems in NCS such as network delays, network scheduling, and data quantization, as well as more general control problems such as output feedback control, nonlinear systems stabilization, and tracking control. Key features and topics include: Time-triggered and event-triggered feedback updates Stabilization of uncertain systems subject to time delays, quantization, and extended absence of feedback Optimal control analysis and design of model-based networked systems Parameter identification and adaptive stabilization of systems controlled over networks The MB-NCS approach to decentralized control of distributed systems Model-Based Control of Networked Systems will appeal to researchers, practitioners, and graduate students interested in the control of networked systems, distributed systems, and systems with limited feedback.

## Investigation on Robust Codesign Methods for Networked Control Systems

Author | : Sanad Al-Areqi |

Publsiher | : Logos Verlag Berlin GmbH |

Total Pages | : 180 |

Release | : 2015-12-31 |

ISBN 10 | : 3832541705 |

ISBN 13 | : 9783832541705 |

Language | : EN, FR, DE, ES & NL |

**Investigation on Robust Codesign Methods for Networked Control Systems Book Review:**

The problem of jointly designing a robust controller and an intelligent scheduler for networked control systems (NCSs) is addressed in this thesis. NCSs composing of multiple plants that share a single channel communication network with uncertain time-varying transmission times are modeled as switched polytopic systems with additive norm-bounded uncertainty. Switching is deployed to represent scheduling, the polytopic uncertainty to overapproximatively describe the uncertain time-varying transmission times. Based on the resulting NCS model and a state feedback control law, the control and scheduling codesign problem is then introduced and formulated as a robust (minimax) optimization problem with the objective of minimizing the worst-case value of an associated infinite time-horizon quadratic cost function. Five robust codesign strategies are investigated for tackling the introduced optimization problem, namely: Periodic control and scheduling (PCS), Receding-horizon control and scheduling (RHCS), Implementation-aware control and scheduling (IACS), Event-based control and scheduling (EBCS), Prediction-based control and scheduling (PBCS). All these codesign strategies are determined from LMI optimization problems based on the Lyapunov theory. The properties of each are evaluated and compared in terms of computational complexity and control performance based on simulation and experimental study, showing their effectiveness in improving the performance while utilizing the limited communication resources very efficiently.