Dynamic System Modeling and Control
by Hugh Jack
Number of pages: 998
This book introduces the basic concepts of system modeling with differential equations. The draft version includes updates made during the fall of 2004, including many corrections and clarifications.
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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 Karl J. Astrom, Richard M. Murray - Princeton University Press
An introduction to the basic principles and tools for the design and analysis of feedback systems. It is intended for scientists and engineers who are interested in utilizing feedback in physical, biological, information and social systems.
by Derek Atherton - BookBoon
The book covers the basic aspects of linear single loop feedback control theory. Explanations of the mathematical concepts used in classical control such as root loci, frequency response and stability methods are explained by making use of MATLAB.
by Vincent Del Toro, Sydney R. Parker - McGraw-Hill
This is an integrated treatment of feedback control systems at the senior-graduate level. In order to emphasize the unified approach, the book is divided into five sections. Each section deals with a fundamental phase of control systems engineering.