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
Discrete-Event Control of Stochastic Networks: Multimodularity and Regularity
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.
(10982 views)
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.
(10982 views)
Dynamic System Modeling and Control
by Hugh Jack
Dynamic System Modeling and Control introduces the basic concepts of system modeling with differential equations. Supplemental materials at the end of this book include a writing guide, summary of math topics, and a table of useful engineering units.
(23818 views)
by Hugh Jack
Dynamic System Modeling and Control introduces the basic concepts of system modeling with differential equations. Supplemental materials at the end of this book include a writing guide, summary of math topics, and a table of useful engineering units.
(23818 views)
Intelligent Control
by P. J. Antsaklis
Intelligent control describes the discipline where control methods emulate important characteristics of human intelligence. These characteristics include adaptation and learning, planning under large uncertainty and coping with large amounts of data.
(15698 views)
by P. J. Antsaklis
Intelligent control describes the discipline where control methods emulate important characteristics of human intelligence. These characteristics include adaptation and learning, planning under large uncertainty and coping with large amounts of data.
(15698 views)
Nonlinear System Theory: The Volterra/Wiener Approach
by Wilson J. Rugh - The Johns Hopkins University Press
Contents: Input/Output Representations in the Time and Transform Domain; Obtaining Input/Output Representations from Differential-Equation Descriptions; Realization Theory; Response Characteristics of Stationary Systems; Discrete-Time Systems; etc.
(14601 views)
by Wilson J. Rugh - The Johns Hopkins University Press
Contents: Input/Output Representations in the Time and Transform Domain; Obtaining Input/Output Representations from Differential-Equation Descriptions; Realization Theory; Response Characteristics of Stationary Systems; Discrete-Time Systems; etc.
(14601 views)