Discrete Networked Dynamic Systems

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  • Author : Magdi S. Mahmoud
  • Publisher : Academic Press
  • Pages : 484 pages
  • ISBN : 012823699X
  • Rating : /5 from reviews
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Download or Read online Discrete Networked Dynamic Systems full in PDF, ePub and kindle. this book written by Magdi S. Mahmoud and published by Academic Press which was released on 09 November 2020 with total page 484 pages. We cannot guarantee that Discrete Networked Dynamic Systems book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Discrete Networked Dynamic Systems

Discrete Networked Dynamic Systems
  • Author : Magdi S. Mahmoud,Yuanqing Xia
  • Publisher : Academic Press
  • Release : 09 November 2020
GET THIS BOOK Discrete Networked Dynamic Systems

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

Control Theory of Digitally Networked Dynamic Systems

Control Theory of Digitally Networked Dynamic Systems
  • Author : Jan Lunze
  • Publisher : Springer Science & Business Media
  • Release : 06 July 2013
GET THIS BOOK Control Theory of Digitally Networked Dynamic Systems

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

Autonomous and cooperative control of networked discrete event systems

Autonomous and cooperative control of networked discrete event systems
  • Author : Markus Zgorzelski
  • Publisher : Logos Verlag Berlin GmbH
  • Release : 28 August 2020
GET THIS BOOK Autonomous and cooperative control of networked discrete event systems

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

Analysis and Synthesis of Semi Markov Jump Linear Systems and Networked Dynamic Systems

Analysis and Synthesis of Semi Markov Jump Linear Systems and Networked Dynamic Systems
  • Author : Ji Huang,University of Victoria (B.C.). Dept. of Mechanical Engineering
  • Publisher : Unknown
  • Release : 20 January 2022
GET THIS BOOK Analysis and Synthesis of Semi Markov Jump Linear Systems and Networked Dynamic Systems

Physical processes which are governed by differential equations or difference equations with discontinuous behavior can be modeled as jump systems. An important type of jump systems is the one evolving linearly among the discrete events; this type of systems is called jump linear systems. A common analysis approach is to employ stochastic processes to describe the sequences, switches, and statistic properties of the discrete events. In this thesis, the jump linear systems to be studied are governed by semi-Markov processes.

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
  • Publisher : CRC Press
  • Release : 11 October 2018
GET THIS BOOK Performance Analysis and Synthesis for Discrete Time Stochastic Systems with Network Enhanced Complexities

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

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
  • Publisher : Springer
  • Release : 09 August 2018
GET THIS BOOK Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals

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

Recent Advances in Control Problems of Dynamical Systems and Networks

Recent Advances in Control Problems of Dynamical Systems and Networks
  • Author : Ju H. Park
  • Publisher : Springer Nature
  • Release : 11 August 2020
GET THIS BOOK Recent Advances in Control Problems of Dynamical Systems and Networks

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

Efficient Modeling and Control of Large Scale Systems

Efficient Modeling and Control of Large Scale Systems
  • Author : Javad Mohammadpour,Karolos M. Grigoriadis
  • Publisher : Springer Science & Business Media
  • Release : 23 June 2010
GET THIS BOOK Efficient Modeling and Control of Large Scale Systems

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

Networked Filtering and Fusion in Wireless Sensor Networks

Networked Filtering and Fusion in Wireless Sensor Networks
  • Author : Magdi S. Mahmoud,Yuanqing Xia
  • Publisher : CRC Press
  • Release : 20 December 2014
GET THIS BOOK Networked Filtering and Fusion in Wireless Sensor Networks

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

Analysis and Synthesis of Networked Control Systems

Analysis and Synthesis of Networked Control Systems
  • Author : Yuanqing Xia,Mengyin Fu,Guo-Ping Liu
  • Publisher : Springer Science & Business Media
  • Release : 14 March 2011
GET THIS BOOK Analysis and Synthesis of Networked Control Systems

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

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
  • Publisher : Springer
  • Release : 06 March 2018
GET THIS BOOK A Quadratic Constraint Approach to Model Predictive Control of Interconnected Systems

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

Optimal Networked Control Systems with MATLAB

Optimal Networked Control Systems with MATLAB
  • Author : Jagannathan Sarangapani,Hao Xu
  • Publisher : CRC Press
  • Release : 03 September 2018
GET THIS BOOK Optimal Networked Control Systems with MATLAB

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

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
  • Publisher : Springer
  • Release : 01 October 2014
GET THIS BOOK Computational Intelligence Networked Systems and Their Applications

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