Feedback Systems: An Introduction for Scientists and Engineers
by Karl J. Astrom, Richard M. Murray
Publisher: Princeton University Press 2008
Number of pages: 408
This book provides an introduction to the basic principles and tools for the design and analysis of feedback systems. It is intended to serve a diverse audience of scientists and engineers who are interested in understanding and utilizing feedback in physical, biological, information and social systems. A major goal of this book is to present a concise and insightful view of the current knowledge in feedback and control systems.
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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 Derek P. Atherton - Bookboon
The purpose of this book is to provide both worked examples and additional problems with answers. A major objective is to enable the reader to develop confidence in analytical work by showing how calculations can be checked using Matlab/Simulink.
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 Stephen Boyd, Craig Barratt - Prentice-Hall
The book is motivated by the development of high quality integrated sensors and actuators, powerful control processors, and hardware and software that can be used to design control systems. Written for students and industrial control engineers.