Model Predictive Control : Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model / / by Ridong Zhang, Anke Xue, Furong Gao
(Visualizza in formato marc)
(Visualizza in BIBFRAME)
| Autore: |
Zhang Ridong
|
| Titolo: |
Model Predictive Control : Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model / / by Ridong Zhang, Anke Xue, Furong Gao
|
| Pubblicazione: | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Edizione: | 1st ed. 2019. |
| Descrizione fisica: | 1 online resource (xv, 137 pages) : illustrations |
| Disciplina: | 629.8 |
| Soggetto topico: | Systems theory |
| Mathematical optimization | |
| Control and Systems Theory | |
| Systems Theory, Control | |
| Calculus of Variations and Optimal Control; Optimization | |
| Energy Efficiency | |
| Persona (resp. second.): | XueAnke |
| GaoFurong | |
| Nota di contenuto: | Introduction -- Model Predictive Control Based on Extended State Space Model -- Predictive Functional Control Based on Extended State Space Model -- Model Predictive Control Based on Extended Non-Minimal State Space Model -- Predictive Functional Control Based on Extended Non-minimal State Space Model -- Model Predictive Control Under Constraints -- PID Control Using Extended Non-minimal State Space Model Optimization -- Closed-loop System Performance Analysis -- Model Predictive Control Performance Optimized by Genetic Algorithm -- Industrial Application -- Further Ideas on MPC and PFC Using Relaxed Constrained Optimization. |
| Sommario/riassunto: | 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. . |
| Titolo autorizzato: | Model Predictive Control |
| ISBN: | 981-13-0083-6 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910483180103321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |