Advanced Model Predictive Control
by Tao Zheng
Publisher: InTech 2011
ISBN-13: 9789533072982
Number of pages: 418
Description:
Model Predictive Control (MPC) refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. From lower request of modeling accuracy and robustness to complicated process plants, MPC has been widely accepted in many practical fields.
Download or read it online for free here:
Download link
(14MB, PDF)
Similar books
Control Theory with Applications to Naval Hydrodynamicsby 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.
(12936 views)
Electromechanisms: Automatic Controlsby 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.
(9488 views)
Control Engineering: An introduction with the use of Matlabby 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.
(18435 views)
Linear Matrix Inequalities in System and Control Theoryby 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.
(15003 views)