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

Model Predictive Control: Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model image
ISBN-10:

9811300828

ISBN-13:

9789811300820

Edition: 1st ed. 2019
Released: Aug 23, 2018
Publisher: Springer
Format: Hardcover, 152 pages
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Description:

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. 

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