Model Predictive Control Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model /

• Main Authors: Zhang, Ridong (Author, http://id.loc.gov/vocabulary/relators/aut), Xue, Anke (http://id.loc.gov/vocabulary/relators/aut), Gao, Furong (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Control engineering.; System theory.; Calculus of variations.; Energy efficiency.; Control and Systems Theory.; Systems Theory, Control.; Calculus of Variations and Optimal Control; Optimization.; Energy Efficiency.

This monograph introduces the authors' work on model predictive control system design using extended state space and extended non-minimal state space approaches. It systematically describes model predictive control design for chemical processes, including the basic control algorithms, the exten...

Table of Contents:

• Introduction
• Model Predictive Control Based on Extended State Space Model
• Predictive Functional Control Based on Extended State Space Model
• Model Predictive Control Based on Extended Non-Minimal State Space Model
• Predictive Functional Control Based on Extended Non-minimal State Space Model
• Model Predictive Control Under Constraints
• PID Control Using Extended Non-minimal State Space Model Optimization
• Closed-loop System Performance Analysis
• Model Predictive Control Performance Optimized by Genetic Algorithm
• Industrial Application
• Further Ideas on MPC and PFC Using Relaxed Constrained Optimization.