Focusing on switched time-delay systems (STDs), the book offers a systematic and structured approach to stability analysis and control design methodologies. It provides an introductory yet comprehensive examination of these systems, making complex concepts accessible for readers interested in advanced control theory.
Stability Analysis and Design
Focusing on large-scale systems, this book offers a comprehensive framework for analyzing stability and control while tackling challenges such as dimensionality, information structure constraints, parametric uncertainty, and time delays. It emphasizes decentralized control and filtering, providing rigorous methodologies to enhance understanding and application in complex systems.
Focusing on the innovative Jump Time-Delay Systems (JTDS), this book delves into their time-domain modeling, stability, and control design, emphasizing the dynamics influenced by delay-differential equations and Markov processes. It provides a comprehensive mathematical analysis and covers recent methodologies, highlighting the interaction between delay factors, jumping behavior, and uncertainties. The text includes detailed discussions on both single and interconnected JTDS, alongside numerous practical examples and connections to earlier research on time-delay and Markovian jump systems.
Focusing on networked control systems, the book addresses critical challenges such as packet dropouts, communication bandwidth constraints, parametric uncertainty, and time delays. It offers insights into the analysis, stability, and design of these systems, making it a valuable resource for understanding and improving the performance of networked control applications.
This textbook explains the principles of fuzzy systems in some depth together with information useful in realizing them within computational processes. The various algorithms and example problem solutions are a well-balanced and pertinent aid for research projects, laboratory work and graduate study. In addition to its worked examples, the book also uses end-of-chapter exercises as an instructional aid with a downloadable solutions manual available to instructors. The content of the book is developed and extended from material taught for four years in the author’s classes. The text provides a broad overview of fuzzy control, estimation and fault diagnosis. It ranges over various classes of target system and modes of control and then turns to filtering, stabilization, and fault detection and diagnosis. Applications, simulation tools and an appendix on algebraic inequalities complete a unified approach to the analysis of single and interconnected fuzzy systems. Fuzzy Control, Estimation and Fault Detection is a guide for final-year undergraduate and graduate students of electrical and mechanical engineering, computer science and information technology, and will also be instructive for professionals in the information technology sector.
This monograph provides a complete description of resilient control theory. It unifies the methods for developing resilient controllers and filters for a class of uncertain dynamical systems and reports recent advances in design methodologies. The book presents an introductory and comprehensive treatment of resilient controller design methods placing great emphasis on the derivation of necessary and sufficient design conditions and on the use of linear matrix inequalities as a convenient computational tool. The book can be used as a graduate-level textbook in control engineering or applied mathematics as well as a reference for practicing engineers, researchers and students.