Analysis and Design for Positive Stochastic Jump Systems

Analysis and Design for Positive Stochastic Jump Systems PDF

Author: Wenhai Qi

Publisher: Springer Nature

Published: 2022-09-19

Total Pages: 219

ISBN-13: 9811954909

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The book focuses on analysis and design for positive stochastic jump systems. By using multiple linear co-positive Lyapunov function method and linear programming technique, a basic theoretical framework is formed toward the issues of analysis and design for positive stochastic jump systems. This is achieved by providing an in-depth study on several major topics such as stability, time delay, finite-time control, observer design, filter design, and fault detection for positive stochastic jump systems. The comprehensive and systematic treatment of positive systems is one of the major features of the book, which is particularly suited for readers who are interested to learn non-negative theory. By reading this book, the reader can obtain the most advanced analysis and design techniques for positive stochastic jump systems.

Positive Markov Jump Linear Systems

Positive Markov Jump Linear Systems PDF

Author: Paolo Bolzern

Publisher:

Published: 2015-12-04

Total Pages: 166

ISBN-13: 9781680830965

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Positive Markov Jump Linear Systems are piecewise positive linear systems affected by a stochastic signal generated by a Markov chain. Positive systems naturally arise in the description of biological systems, compartmental models, population dynamics, traffic modeling, chemical reactions, queue processes, and so on. A rich literature on positive linear systems is now available. Positive Markov Jump Linear Systems is the first work to provide an overview of these developments. It outlines the typical applications of such systems, giving a detailed description of the mathematical theory underpinning the subject. Positive Markov Jump Linear Systems provides a comprehensive and timely introduction to the study of such systems. Readers who are new to the topic will find everything required to understand such systems in a concise and accessible form.

Analysis and Design of Markov Jump Systems with Complex Transition Probabilities

Analysis and Design of Markov Jump Systems with Complex Transition Probabilities PDF

Author: Lixian Zhang

Publisher: Springer

Published: 2016-01-19

Total Pages: 268

ISBN-13: 3319288474

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The book addresses the control issues such as stability analysis, control synthesis and filter design of Markov jump systems with the above three types of TPs, and thus is mainly divided into three parts. Part I studies the Markov jump systems with partially unknown TPs. Different methodologies with different conservatism for the basic stability and stabilization problems are developed and compared. Then the problems of state estimation, the control of systems with time-varying delays, the case involved with both partially unknown TPs and uncertain TPs in a composite way are also tackled. Part II deals with the Markov jump systems with piecewise homogeneous TPs. Methodologies that can effectively handle control problems in the scenario are developed, including the one coping with the asynchronous switching phenomenon between the currently activated system mode and the controller/filter to be designed. Part III focuses on the Markov jump systems with memory TPs. The concept of σ-mean square stability is proposed such that the stability problem can be solved via a finite number of conditions. The systems involved with nonlinear dynamics (described via the Takagi-Sugeno fuzzy model) are also investigated. Numerical and practical examples are given to verify the effectiveness of the obtained theoretical results. Finally, some perspectives and future works are presented to conclude the book.

Filtering and Control of Stochastic Jump Hybrid Systems

Filtering and Control of Stochastic Jump Hybrid Systems PDF

Author: Xiuming Yao

Publisher: Springer

Published: 2016-04-20

Total Pages: 212

ISBN-13: 3319319159

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This book presents recent research work on stochastic jump hybrid systems. Specifically, the considered stochastic jump hybrid systems include Markovian jump Ito stochastic systems, Markovian jump linear-parameter-varying (LPV) systems, Markovian jump singular systems, Markovian jump two-dimensional (2-D) systems, and Markovian jump repeated scalar nonlinear systems. Some sufficient conditions are first established respectively for the stability and performances of those kinds of stochastic jump hybrid systems in terms of solution of linear matrix inequalities (LMIs). Based on the derived analysis conditions, the filtering and control problems are addressed. The book presents up-to-date research developments and novel methodologies on stochastic jump hybrid systems. The contents can be divided into two parts: the first part is focused on robust filter design problem, while the second part is put the emphasis on robust control problem. These methodologies provide a framework for stability and performance analysis, robust controller design, and robust filter design for the considered systems. Solutions to the design problems are presented in terms of LMIs. The book is a timely reflection of the developing area of filtering and control theories for Markovian jump hybrid systems with various kinds of imperfect information. It is a collection of a series of latest research results and therefore serves as a useful textbook for senior and/or graduate students who are interested in knowing 1) the state-of-the-art of linear filtering and control areas, and 2) recent advances in stochastic jump hybrid systems. The readers will also benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing.

Stochastic Switching Systems

Stochastic Switching Systems PDF

Author: El-Kébir Boukas

Publisher: Springer Science & Business Media

Published: 2007-05-24

Total Pages: 413

ISBN-13: 0817644520

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An introductory chapter highlights basics concepts and practical models, which are then used to solve more advanced problems throughout the book. Included are many numerical examples and LMI synthesis methods and design approaches.

Discrete-Time Markov Jump Linear Systems

Discrete-Time Markov Jump Linear Systems PDF

Author: O.L.V. Costa

Publisher: Springer Science & Business Media

Published: 2006-03-30

Total Pages: 287

ISBN-13: 1846280826

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This will be the most up-to-date book in the area (the closest competition was published in 1990) This book takes a new slant and is in discrete rather than continuous time

Applied Stochastic Processes and Control for Jump-Diffusions

Applied Stochastic Processes and Control for Jump-Diffusions PDF

Author: Floyd B. Hanson

Publisher: SIAM

Published: 2007-01-01

Total Pages: 472

ISBN-13: 9780898718638

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This self-contained, practical, entry-level text integrates the basic principles of applied mathematics, applied probability, and computational science for a clear presentation of stochastic processes and control for jump diffusions in continuous time. The author covers the important problem of controlling these systems and, through the use of a jump calculus construction, discusses the strong role of discontinuous and nonsmooth properties versus random properties in stochastic systems.

Sliding Mode Control of Semi-Markovian Jump Systems

Sliding Mode Control of Semi-Markovian Jump Systems PDF

Author: Baoping Jiang

Publisher: CRC Press

Published: 2021-08-23

Total Pages: 175

ISBN-13: 1000425975

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Presents systematic work on sliding mode control (SMC) of semi-Markovian jump systems Explores SMC methods, such as fuzzy SMC, adaptive SMC, with the presence of generally uncertain transition rates Provides novel method in dealing with stochastic systems with unknown switching information Proposes more general theories for semi-Markovian jump systems with generally uncertain transition rates Discusses practical examples to verify the effectiveness of SMC theory in semi-Markovian jump systems

Stability Analysis of Markovian Jump Systems

Stability Analysis of Markovian Jump Systems PDF

Author: Yu Kang

Publisher: Springer

Published: 2017-09-08

Total Pages: 193

ISBN-13: 9811038600

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This book focuses on the stability analysis of Markovian jump systems (MJSs) with various settings and discusses its applications in several different areas. It also presents general definitions of the necessary concepts and an overview of the recent developments in MJSs. Further, it addresses the general robust problem of Markovian jump linear systems (MJLSs), the asynchronous stability of a class of nonlinear systems, the robust adaptive control scheme for a class of nonlinear uncertain MJSs, the practical stability of MJSs and its applications as a modelling tool for networked control systems, Markovian-based control for wheeled mobile manipulators and the jump-linear-quadratic (JLQ) problem of a class of continuous-time MJLSs. It is a valuable resource for researchers and graduate students in the field of control theory and engineering.

Analysis and Design of Singular Markovian Jump Systems

Analysis and Design of Singular Markovian Jump Systems PDF

Author: Guoliang Wang

Publisher: Springer

Published: 2014-07-17

Total Pages: 287

ISBN-13: 3319087231

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This monograph is an up-to-date presentation of the analysis and design of singular Markovian jump systems (SMJSs) in which the transition rate matrix of the underlying systems is generally uncertain, partially unknown and designed. The problems addressed include stability, stabilization, H∞ control and filtering, observer design, and adaptive control. applications of Markov process are investigated by using Lyapunov theory, linear matrix inequalities (LMIs), S-procedure and the stochastic Barbalat’s Lemma, among other techniques. Features of the book include: · study of the stability problem for SMJSs with general transition rate matrices (TRMs); · stabilization for SMJSs by TRM design, noise control, proportional-derivative and partially mode-dependent control, in terms of LMIs with and without equation constraints; · mode-dependent and mode-independent H∞ control solutions with development of a type of disordered controller; · observer-based controllers of SMJSs in which both the designed observer and controller are either mode-dependent or mode-independent; · consideration of robust H∞ filtering in terms of uncertain TRM or filter parameters leading to a method for totally mode-independent filtering · development of LMI-based conditions for a class of adaptive state feedback controllers with almost-certainly-bounded estimated error and almost-certainly-asymptotically-stable corres ponding closed-loop system states · applications of Markov process on singular systems with norm bounded uncertainties and time-varying delays Analysis and Design of Singular Markovian Jump Systems contains valuable reference material for academic researchers wishing to explore the area. The contents are also suitable for a one-semester graduate course.