<p>From the book reviews:</p><p>“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)</p><p>“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)</p>
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.