by Kwanho You
Publisher: InTech 2009
Number of pages: 380
With the efforts of many control researchers, the adaptive control field is abundant in mathematical analysis, programming tools, and implementational algorithms. The authors of each chapter in this book are the professionals in their areas. The results in the book introduce their recent research results and provide new idea for improved performance in various control application problems. There are 16 chapters discussing the issues of adaptive control application to model generation, adaptive estimation, output regulation and feedback, electrical drives, optical communication, neural estimator, simulation and implementation.
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by M.R. James - Australian National University
These notes are an overview of some aspects of optimal and robust control theory considered relevant to quantum control. The notes cover classical deterministic optimal control, classical stochastic and robust control, and quantum feedback control.
by Eitan Altman, Bruno Gaujal, Arie Hordijk - Springer
Opening new directions in research in stochastic control, this book focuses on a wide class of control and of optimization problems over sequences of integer numbers. The theory is applied to the control of stochastic discrete-event dynamic systems.
by S. Boyd, L. El Ghaoui, E. Feron, V. Balakrishnan
The authors reduce a wide variety of problems arising in system and control theory to a handful of optimization problems that involve linear matrix inequalities. These problems can be solved using recently developed numerical algorithms.
by Tamer Mansour - InTech
The PID controller is considered the most widely used controller. It has numerous applications varying from industrial to home appliances. This book is an outcome of contributions and inspirations from many researchers in the field of PID control.