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 Tao Zheng - InTech
Model Predictive Control refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. From lower request to complicated process plants, MPC has been accepted in many practical fields.
by Jan C. Willems - The MIT Press
This monograph develops further and refines methods based on input -output descriptions for analyzing feedback systems. Contrary to previous work in this area, the treatment heavily emphasizes and exploits the causality of the operators involved.
by R. Timman
The lectures present an introduction to modern control theory. Calculus of variations is used to study the problem of determining the optimal control for a deterministic system without constraints and for one with constraints.
by Bruce A. Francis - Springer
An elementary treatment of linear control theory with an H-infinity optimality criterion. The systems are all linear, timeinvariant, and finite-dimensional and they operate in continuous time. The book has been used in a one-semester graduate course.