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Model Predictive Control: Approaches Based on the Extended State Space Model and Extended Non-Minimal State Space Model (en Inglés)
Ridong Zhang; Anke Xue; Furong Gao (Autor)
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Springer
· Tapa Dura
Model Predictive Control: Approaches Based on the Extended State Space Model and Extended Non-Minimal State Space Model (en Inglés) - Ridong Zhang; Anke Xue; Furong Gao
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Reseña del libro "Model Predictive Control: Approaches Based on the Extended State Space Model and Extended Non-Minimal State Space Model (en Inglés)"
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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