[PDF] Synthesis Of Dynamic Systems With Markovian Characteristics eBook

Author : Junlin Xiong
Publisher : Open Dissertation Press
Page : pages
File Size : 42,13 MB
Release : 2017-01-27
Category :
ISBN : 9781374661684

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This dissertation, "Synthesis of Dynamic Systems With Markovian Characteristics" by Junlin, Xiong, 熊軍林, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of thesis entitled Synthesis of Dynamic Systems with Markovian Characteristics submitted by Junlin Xiong for the degree of Doctor of Philosophy at The University of Hong Kong in August 2007 The thesis is concerned with the synthesis of dynamic systems with Markovian characteristics. Two classes of systems are considered: Markovian jump linear systems and networked control systems. Three types of problems are investigated. They are (a) robust stabilization, robust H control, robust H control and robust H filter design of 2 1 1 uncertain Markovian jump linear systems; (b) stabilization of Markovian jump linear systems with delayed system information; and (c) stabilization of networked control systems with bounded time delay and packet loss. For problem (a), the system under consideration is a continuous-time Markovian jump linear system. The uncertainties are norm bounded in the system matrices and element-wise bounded in the mode transition rate matrix. An improved model of the mode transition rate uncertainties is described, which enables the use of the probability constraints on the rows of the mode transition rate matrix to reduce the conservatism of the results. Sucient conditions are given for the designs of the robust stabilizing controllers, robust H controllers, robust H controllers and fixed-order robust H 2 1 1filters. For problem (b), the system under consideration is a discrete-time Markovian jump linear system. Both the system state and the system mode are time delayed. The delay in the system state is time-varying and bounded, while that in the system mode is constant. The delay in the latter case manifests as a constant mismatch of the modes between the system and the controller. The resulting closed-loop system is shown to be a time-varying delayed Markovian jump linear system with extended operation modes. A sucient condition is provided for the design of the controller with the delayed information. For problem (c), two techniques are developed for the stabilization of networked control systems. One is to use packet-loss dependent Lyapunov functions. In this case, the process to be controlled is a linear discrete-time system. The communication net- work has the bounded packet-loss behavior characterized either by an arbitrary process or by a Markovian chain. The stabilization problem is tackled. The other technique is to employ a special zero-order hold. In this case, the zero-order hold has a logic to apply the newest control input data to control the process. Under this framework, the networked control system with both time delay and packet loss is discretized to a discrete-time system with input delay. Several sucient conditions are given for the design of the networked controllers. All the obtained conditions are given in terms of either linear matrix inequalities only or linear matrix inequalities with equality constraints. Numerical examples and simulations are used to demonstrate that (a) it is necessary to consider the uncertainties in the mode transition rate matrix; (b) the results developed in the thesis are more powerful than existing ones; (c) the delay in the system mode is critical for the control of Markovian jump linear systems with delayed information; and (d) the networked controllers can be eectively designed by the developed theories. DOI: 10.5353/th_b3897933 Subjects: Markov processes Control theory

Author : Jun Shen
Publisher : Springer
Page : 136 pages
File Size : 16,93 MB
Release : 2017-03-27
Category : Technology & Engineering
ISBN : 9811038805

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This thesis develops several systematic and unified approaches for analyzing dynamic systems with positive characteristics or a more general cone invariance property. Based on these analysis results, it uses linear programming tools to address static output feedback synthesis problems with a focus on optimal gain performances. Owing to their low computational complexity, the established controller design algorithms are applicable for large-scale systems. The theory and control strategies developed will not only be useful in handling large-scale positive delay systems with improved solvability and at lower cost, but also further our understanding of the system characteristics in other related areas, such as distributed coordination of networked multi-agent systems, formation control of multiple robots.

Author : Robert E. Skelton
Publisher :
Page : 536 pages
File Size : 45,74 MB
Release : 1988
Category : Science
ISBN :

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This text deals with matrix methods for handling, reducing, and analyzing data from a dynamic system, and covers techniques for the design of feedback controllers for those systems which can be perfectly modeled. Unlike other texts at this level, this book also provides techniques for the design of feedback controllers for those systems which cannot be perfectly modeled. In addition, presentation draws attention to the iterative nature of the control design process, and introduces model reduction and concepts of equivalent models, topics not generally covered at this level. Chapters cover mathematical preliminaries, models of dynamic systems, properties of state space realizations, controllability and observability, equivalent realizations and model reduction, stability, optimal control of time-variant systems, state estimation, and model error concepts and compensation. Extensive appendixes cover the requisite mathematics.

Author : Ji Huang
Publisher :
Page : pages
File Size : 16,1 MB
Release : 2013
Category :
ISBN :

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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. This type of jump linear systems is called the semi-Markov jump linear system. Due to the nature of the jump linear system, it finds many applications in networked control systems, fault tolerant control systems, and other systems subject to abrupt changes. It is worthwhile to mention that the well studied Markov jump linear system is a special case of the semi-Markov jump linear system. The thesis consists of two parts: The analysis and synthesis of semi-Markov jump linear systems and networked dynamic systems. In Chapter 2 and Chapter 3, the stochastic stability and optimal control for semi-Markov jump linear systems with or without time delays are investigated. In Chapter 4, a novel fault tolerant control scheme is proposed based on the semi-Markov jump linear system stability conditions. Chapter 5 to Chapter 7 discuss the networked dynamic systems analysis via jump linear system approaches. The stochastic stability conditions for semi-Markov jump linear systems are firstly derived. The Lyapunov theory is used to establish the sufficient stability conditions by deriving the infinitesimal generator of the Lyapunov function. Since in practice, almost all the system models could not be identified precisely, robust control problems for systems with uncertainties are investigated based on the established stability conditions. Considering the potential applications on networked systems where time delays are inevitable, optimal control problems for systems with time-varying delays have been studied. In the fault tolerant control design, the semi-Markov process is ideal to characterize time-varying failure rates of the system components whose life time is not exponentially distributed. The designed controller is capable of maintaining the stability when an actuator malfunctions.In the networked control system analysis, stochastic processes are used to model time delays and sensor scheduling rules ... .

Author : Wenhai Qi
Publisher : Springer Nature
Page : 227 pages
File Size : 10,63 MB
Release : 2023-03-07
Category : Technology & Engineering
ISBN : 9819903173

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The book focuses on control synthesis for semi-Markovian switching systems. By using multiple semi-Markovian Lyapunov function approaches, a basic theoretical framework is formed toward the issue of control synthesis for semi-Markovian switching systems. This is achieved by providing an in-depth study on several major topics such as sliding mode control, finite-time control, quantized control, event-triggered control, synchronization, and fuzzy control for semi-Markovian switching systems. The comprehensive and systematic treatment of semi-Markovian switching systems is one of the major features of the book, which is particularly suitable for readers who are interested to learn control theory and engineering. By reading this book, the reader can obtain the most advanced analysis and design techniques for stochastic switching systems.