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 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

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  • Author : Magdi S. Mahmoud
  • Publisher : Academic Press
  • Pages : 484 pages
  • ISBN : 012823699X
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKDiscrete Networked Dynamic Systems

Discrete Networked Dynamic Systems

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

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 Publisher
  • Release : 08 December 2021
GET THIS BOOKAnalysis 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.

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 BOOKAutonomous 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

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 BOOKPerformance 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

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
  • Publisher : Springer Nature
  • Release : 29 August 2019
GET THIS BOOKDynamic Systems with Time Delays: Stability and Control

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

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 BOOKRecent 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

Networked Control Systems with Intermittent Feedback

Networked Control Systems with Intermittent Feedback
  • Author : Domagoj Tolić,Sandra Hirche
  • Publisher : CRC Press
  • Release : 31 March 2017
GET THIS BOOKNetworked Control Systems with Intermittent Feedback

Networked Control Systems (NCSs) are spatially distributed systems for which the communication between sensors, actuators and controllers is realized by a shared (wired or wireless) communication network. NCSs offer several advantages, such as reduced installation and maintenance costs, as well as greater flexibility, over conventional control systems in which parts of control loops exchange information via dedicated point-to-point connections. The principal goal of this book is to present a coherent and versatile framework applicable to various settings investigated by the

Discrete-Time and Discrete-Space Dynamical Systems

Discrete-Time and Discrete-Space Dynamical Systems
  • Author : Kuize Zhang,Lijun Zhang,Lihua Xie
  • Publisher : Springer
  • Release : 06 August 2019
GET THIS BOOKDiscrete-Time and Discrete-Space Dynamical Systems

Discrete-Time and Discrete-Space Dynamical Systems provides a systematic characterization of the similarities and differences of several types of discrete-time and discrete-space dynamical systems, including: Boolean control networks; nondeterministic finite-transition systems; finite automata; labelled Petri nets; and cellular automata. The book's perspective is primarily based on topological properties though it also employs semitensor-product and graph-theoretic methods where appropriate. It presents a series of fundamental results: invertibility, observability, detectability, reversiblity, etc., with applications to systems biology. Academic researchers with backgrounds in applied

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 BOOKOptimal 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

Estimation and Control of Large-Scale Networked Systems

Estimation and Control of Large-Scale Networked Systems
  • Author : Tong Zhou,Keyou You,Li Tao
  • Publisher : Butterworth-Heinemann
  • Release : 13 June 2018
GET THIS BOOKEstimation and Control of Large-Scale Networked Systems

Estimation and Control of Large Scale Networked Systems is the first book that systematically summarizes results on large-scale networked systems. In addition, the book also summarizes the most recent results on structure identification of a networked system, attack identification and prevention. Readers will find the necessary mathematical knowledge for studying large-scale networked systems, as well as a systematic description of the current status of this field, the features of these systems, difficulties in dealing with state estimation and controller design,

Fault Detection, Supervision and Safety of Technical Processes 2006

Fault Detection, Supervision and Safety of Technical Processes 2006
  • Author : Hong-Yue Zhang
  • Publisher : Elsevier
  • Release : 01 March 2007
GET THIS BOOKFault Detection, Supervision and Safety of Technical Processes 2006

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

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 BOOKEfficient 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

Model-Based Control of Networked Systems

Model-Based Control of Networked Systems
  • Author : Eloy Garcia,Panos J. Antsaklis,Luis A. Montestruque
  • Publisher : Springer
  • Release : 08 August 2014
GET THIS BOOKModel-Based Control of Networked Systems

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