Filtering and Control of Stochastic Jump Hybrid Systems, Yao Xiuming, Wu Ligang, Zheng Wei Xing
Автор: Xiuming Yao; Ligang Wu; Wei Xing Zheng Название: Filtering and Control of Stochastic Jump Hybrid Systems ISBN: 3319319140 ISBN-13(EAN): 9783319319148 Издательство: Springer Рейтинг: Цена: 15957.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Li Fanbiao, Shi Peng, Wu Ligang Название: Control and Filtering for Semi-Markovian Jump Systems ISBN: 3319836773 ISBN-13(EAN): 9783319836775 Издательство: Springer Рейтинг: Цена: 12196.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It presents solutions to a series of problems with new approaches for the control and filtering of S-MJS, including stability analysis, sliding mode control, dynamic output feedback control, robust filter design, and fault detection.
Автор: Fanbiao Li; Peng Shi; Ligang Wu Название: Control and Filtering for Semi-Markovian Jump Systems ISBN: 3319471988 ISBN-13(EAN): 9783319471983 Издательство: Springer Рейтинг: Цена: 15855.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents up-to-date research developments and novel methodologies on semi-Markovian jump systems (S-MJS). It presents solutions to a series of problems with new approaches for the control and filtering of S-MJS, including stability analysis, sliding mode control, dynamic output feedback control, robust filter design, and fault detection. A set of newly developed techniques such as piecewise analysis method, positively invariant set approach, event-triggered method, and cone complementary linearization approaches are presented. Control and Filtering for Semi-Markovian Jump Systems is a comprehensive reference for researcher and practitioners working in control engineering, system sciences and applied mathematics, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing.
Автор: S.K. Mitter; A. Moro Название: Nonlinear Filtering and Stochastic Control ISBN: 3540119760 ISBN-13(EAN): 9783540119760 Издательство: Springer Рейтинг: Цена: 4263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: W. H. Fleming; L. G. Gorostiza Название: Advances in Filtering and Optimal Stochastic Control ISBN: 3662135310 ISBN-13(EAN): 9783662135310 Издательство: Springer Рейтинг: Цена: 14818.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Ligang Wu; Zidong Wang Название: Filtering and Control for Classes of Two-Dimensional Systems ISBN: 3319136976 ISBN-13(EAN): 9783319136974 Издательство: Springer Рейтинг: Цена: 18237.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Filtering and Control for Classes of Two-Dimensional Systems
Описание: This book presents the state-of-the-art in optimal filtering and control for polynomial and time-delay systems.
Автор: Zhang Dan, Wang Qing-Guo, Yu Li Название: Filtering and Control of Wireless Networked Systems ISBN: 3319850687 ISBN-13(EAN): 9783319850689 Издательство: Springer Рейтинг: Цена: 12196.00 р. Наличие на складе: Нет в наличии.
Описание:
Introduction.- Fundamentals.- H∞ filtering with time-varying transmissions.- H∞ filtering with energy constraint and stochastic gain variations.- H∞ Filtering with Stochastic Signal Transmissions.- H∞ filtering with stochastic sampling and measurement size reduction.- Distributed filtering with communication reduction.- Distributed filtering with stochastic sampling.- Distributed filtering with random filter gain variations.- Distributed filtering with measurement size reduction and filter gain variations.- Distributed control with controller gain variations.- Distributed control with measurement size reduction and random fault.- Distributed control with communication reduction.- Distributed control with event-based communication and topology switching
Описание: This book focuses on the basic control and filtering synthesis problems for discrete-time switched linear systems under time-dependent switching signals.
Автор: Shanling Dong; Zheng-Guang Wu; Peng Shi Название: Control and Filtering of Fuzzy Systems with Switched Parameters ISBN: 3030355659 ISBN-13(EAN): 9783030355654 Издательство: Springer Рейтинг: Цена: 12196.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book presents recent advances in control and filter design for Takagi-Sugeno (T-S) fuzzy systems with switched parameters. Thanks to its powerful ability in transforming complicated nonlinear systems into a set of linear subsystems, the T-S fuzzy model has received considerable attention from those the field of control science and engineering. Typical applications of T-S fuzzy systems include communication networks, and mechanical and power electronics systems. Practical systems often experience abrupt variations in their parameters or structures due to outside disturbances or component failures, and random switching mechanisms have been used to model these stochastic changes, such as the Markov jump principle.
There are three general types of controller/filter for fuzzy Markov jump systems: mode-independent, mode-dependent and asynchronous. Mode-independence does not focus on whether modes are accessible and ignores partially useful mode information, which results in some conservatism. The mode-dependent design approach relies on timely, complete and correct information regarding the mode of the studied plant. Factors like component failures and data dropouts often make it difficult to obtain exact mode messages, which further make the mode-dependent controllers/filters less useful. Recently, to overcome these issues, researchers have focused on asynchronous techniques. Asynchronous modes are accessed by observing the original systems based on certain probabilities. The book investigates the problems associated with controller/filter design for all three types.
It also considers various networked constraints, such as data dropouts and time delays, and analyzes the performances of the systems based on Lyapunov function and matrix inequality techniques, including the stochastic stability, dissipativity, and $H_\infty$. The book not only shows how these approaches solve the control and filtering problems effectively, but also offers potential meaningful research directions and ideas.
Covering a variety of fields, including continuous-time and discrete-time Markov processes, fuzzy systems, robust control, and filter design problems, the book is primarily intended for researchers in system and control theory, and is also a valuable reference resource for graduate and undergraduate students. Further, it provides cases of fuzzy control problems that are of interest to scientists, engineers and researchers in the field of intelligent control. Lastly it is useful for advanced courses focusing on fuzzy modeling, analysis, and control.
Based on the many approaches available for dealing with large-scale systems (LSS), Decentralized Control and Filtering in Interconnected Dynamical Systems supplies a rigorous framework for studying the analysis, stability, and control problems of LSS. Providing an overall assessment of LSS theories, it addresses model order reduction, parametric uncertainties, time delays, and control estimator gain perturbations.
Taking readers on a guided tour through LSS, the book examines recent trends and approaches and reviews past methods and results from a contemporary perspective. It traces the progress of research along three eras:
Fundamental era in which the basic conceptual frameworks, major ideas, and operational methodologies are laid down
Contemporary era in which several of the workable methods and techniques are established and applied to many application areas
Advanced era in which different high-level schemes and configurations are being developed to meet accelerated technological advancements
Focusing on robust, reliable, and/or resilient decentralized design methods based on linear matrix inequalities framework, the author offers suggestions for improvements to current approaches. He addresses the dominating sources of difficulties due to dimensionality, information structure constraints, uncertainties, and time delays. Drawing attention to key issues, the text is supported by proofs, efficient computational methods, end-of-chapter problems, and approximately 1,300 equations.
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