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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.
- Format: Pocket/Paperback
- ISBN: 9789811343261
- Språk: Engelska
- Antal sidor: 137
- Utgivningsdatum: 2018-12-23
- Förlag: Springer Verlag, Singapore