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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 extension...

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Bibliographic Details
Main Authors: Zhang, Ridong, Xue, Anke (Author), Gao, Furong (Author)
Format: eBook
Language:English
Published: Singapore Springer Singapore 2019, 2019
Subjects:
Energy Efficiency
Systems Theory
Calculus Of Variations And Optimal Control; Optimization
Control
Systems Theory, Control
Mathematical Optimization
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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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