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

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Synopsis

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.

Book details

Edition:
1st ed. 2019
Author:
Ridong Zhang, Anke Xue, Furong Gao
ISBN:
9789811300837
Related ISBNs:
9789811300820
Publisher:
Springer Singapore, Singapore
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2018-11-08
Usage restrictions:
Copyright
Copyright date:
2019
Copyright by:
Springer Nature Singapore Pte Ltd. 
Adult content:
No
Language:
English
Categories:
Mathematics and Statistics, Nonfiction, Science, Technology