by P. J. Antsaklis
Number of pages: 22
Intelligent control describes the discipline where control methods are developed that attempt to emulate important characteristics of human intelligence. These characteristics include adaptation and learning, planning under large uncertainty and coping with large amounts of data.
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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 Roy D. Byrd - Delmar Publishers
These materials are intended to provide a meaningful experience with automatic controls for students of modern technology. The topics included provide exposure to basic principles of control systems, transducers, actuators, amplifiers, controllers.
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.