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
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.
(10175 views)
Linear Controller Design: Limits of Performanceby 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.
(15977 views)
Distributed Control of Robotic Networksby Francesco Bullo, Jorge Cortes, Sonia Martinez - Princeton University Press
This introductory book offers a distinctive blend of computer science and control theory. The book presents a broad set of tools for understanding coordination algorithms, determining their correctness, and assessing their complexity.
(15839 views)
A Course in H-infinity Control Theoryby 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.
(20801 views)