Decentralized Systems with Design Constraints

ISBN-13: 9781447161370 / Angielski / Miękka / 2014 / 549 str.

Magdi S Mahmoud

Opis

Decentralized Control and Filtering provides a rigorous framework for examining the analysis, stability and control of large-scale systems, addressing the difficulties that arise because dimensionality, information structure constraints, parametric uncertainty and time-delays. This monograph serves three purposes: it reviews past methods and results from a contemporary perspective; it examines presents trends and approaches and to provide future possibilities; and it investigates robust, reliable and/or resilient decentralized design methods based on a framework of linear matrix inequalities. As well as providing an overview of large-scale systems theories from the past several decades, the author presents key modern concepts and efficient computational methods. Representative numerical examples, end-of-chapter problems, and typical system applications are included, and theoretical developments and practical applications of large-scale dynamical systems are discussed in depth.

Recenzje

From the book reviews:

"This book addresses design problems related to control systems with a decentralized structure. ... The applications of the theory included in the book are representative and illustrate the added value of the theoretical developments. This book is a good tool that can be used by control engineers and applied mathematicians to solve design problems in decentralized control systems." (Todor A. Stoilov, Mathematical Reviews, February, 2015)

"This book is intended for graduate students and researchers in control systems design including robust, reliable and resilient methods ... . It provides key concepts of decentralized systems with their proofs followed by efficient computational method." (Hussain A. El-Saify, Zentralblatt MATH, Vol. 1223, 2011)

Blurb

Decentralized Systems with Design Constraints provides a rigorous framework for examining the analysis, stability and control of large-scale systems, and addressing the difficulties that arise because of dimensionality, information structure constraints, parametric uncertainty and time-delays.

The achievements of this monograph are three-fold. It:

·         reviews past methods and results from a contemporary perspective;

·         examines present trends and approaches to provide future possibilities; and

·         investigates robust, reliable and/or resilient decentralized design methods based on a linear matrix inequalities framework.

As well as providing an overall assessment of large-scale systems theories over the past several decades, the author presents key related concepts and efficient computational methods. Representative numerical examples, end-of-chapter problems, and typical system applications are included, and theoretical developments and practical applications of large-scale (interconnected) dynamical systems are discussed in depth.