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

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...

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Bibliographic Details
Main Authors: Zhang, Ridong (Author), Xue, Anke (Author), Gao, Furong (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Subjects:
Control engineering.
System theory.
Control theory.
Mathematical optimization.
Calculus of variations.
Energy policy.
Energy and state.
Control and Systems Theory.
Systems Theory, Control.
Calculus of Variations and Optimization.
Energy Policy, Economics and Management.
Online Access:Full-text access
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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.

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