Model Predictive Control
Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model
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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.
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 Introduces the multi-degree of freedom into the controller design of chemical processes Discusses useful technologies and algorithms for theoretical background development and industrial application
Autor*in
Ridong Zhang
Themen in »Model Predictive Control«
Model Predictive Control Process Control Control Engineering State Space Models PID Control Extended state space models