A recent development in SDC-related problems is the establishment of
intelligent SDC models and the intensive use of LMI-based convex
optimization methods. Within this theoretical framework, control
parameter determination can be designed and stability and robustness of
closed-loop systems can be analyzed. This book describes the new
framework of SDC system design and provides a comprehensive description
of the modelling of controller design tools and their real-time
implementation. It starts with a review of current research on SDC and
moves on to some basic techniques for modelling and controller design of
SDC systems. This is followed by a description of controller design for
fixed-control-structure SDC systems, PDF control for general input- and
output-represented systems, filtering designs, and fault detection and
diagnosis (FDD) for SDC systems. Many new LMI techniques being developed
for SDC systems are shown to have independent theoretical significance
for robust control and FDD problems.