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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 exten...

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Detaylı Bibliyografya
Asıl Yazarlar: Zhang, Ridong (Yazar), Xue, Anke (Yazar), Gao, Furong (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Singapore : Springer Nature Singapore : Imprint: Springer, 2019.
Edisyon:1st ed. 2019.
Konular:
Online Erişim:Full-text access
OPAC'ta görüntüle
İçindekiler:
  • 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.