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.