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.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
"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)