Model Predictive Control
Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model
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ISBN-13:
9789811300820
Veröffentl:
2018
Einband:
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Erscheinungsdatum:
23.08.2018
Seiten:
156
Autor:
Ridong Zhang
Gewicht:
407 g
Format:
241x160x15 mm
Sprache:
Englisch
Beschreibung:
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 to predictive functional control, constrained control, closed-loop system analysis, model predictive control optimization-based PID control, genetic algorithm optimization-based model predictive control, and industrial applications. Providing important insights, useful methods and practical algorithms that can be used in chemical process control and optimization, it offers a valuable resource for researchers, scientists and engineers in the field of process system engineering and control engineering.
The first monograph on extended state space and extended non-minimal state space approaches to model predictive control design
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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