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A First Course in Predictive Control
Taschenbuch von J. A. Rossiter
Sprache: Englisch

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Beschreibung
The book is an excellent starting point for readers to gain a solid grounding in MPC concepts and algorithms before moving into application or more advanced research topics. Sample problems are embedded throughout the chapters, and in-text questions are designed for readers to demonstrate an understanding of concepts through numerical simulation
The book is an excellent starting point for readers to gain a solid grounding in MPC concepts and algorithms before moving into application or more advanced research topics. Sample problems are embedded throughout the chapters, and in-text questions are designed for readers to demonstrate an understanding of concepts through numerical simulation
Über den Autor

Dr. Rossiter has been researching predictive control since the late 1980s, and he has published over 300 articles in journals and conferences on the topic. His particular contributions have focused on stability, feasibility and computational simplicity. He also has a parallel interest in developing good practice in university education. He has a Bachelor's degree and a doctorate from the University of Oxford. He spent 9 years as a Lecturer at Loughborough University, and he is currently a Reader at the University of Sheffield.

Inhaltsverzeichnis

Introduction and the industrial need for predictive control. Prediction in model predictive control. Predictive functional control. Predictive control - the basic algorithm. Tuning GPC: good and bad choices of the horizons. Dual mode MPC (OMPC and SOMPC) and stability guarantees. Constraint handling in GPC/finite horizon predictive control. Constraint handling in dual mode predictive control. Conclusions. Appendix A: Tutorial and exam questions and case studies. Appendix B: Further reading. Appendix C: Notation, models and useful background.

Details
Erscheinungsjahr: 2022
Fachbereich: Chemische Technik
Genre: Importe, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781032339160
ISBN-10: 1032339160
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Rossiter, J. A.
Auflage: 2. Auflage
Hersteller: Taylor & Francis Ltd
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 152 x 235 x 27 mm
Von/Mit: J. A. Rossiter
Erscheinungsdatum: 12.07.2022
Gewicht: 0,728 kg
Artikel-ID: 122044199
Über den Autor

Dr. Rossiter has been researching predictive control since the late 1980s, and he has published over 300 articles in journals and conferences on the topic. His particular contributions have focused on stability, feasibility and computational simplicity. He also has a parallel interest in developing good practice in university education. He has a Bachelor's degree and a doctorate from the University of Oxford. He spent 9 years as a Lecturer at Loughborough University, and he is currently a Reader at the University of Sheffield.

Inhaltsverzeichnis

Introduction and the industrial need for predictive control. Prediction in model predictive control. Predictive functional control. Predictive control - the basic algorithm. Tuning GPC: good and bad choices of the horizons. Dual mode MPC (OMPC and SOMPC) and stability guarantees. Constraint handling in GPC/finite horizon predictive control. Constraint handling in dual mode predictive control. Conclusions. Appendix A: Tutorial and exam questions and case studies. Appendix B: Further reading. Appendix C: Notation, models and useful background.

Details
Erscheinungsjahr: 2022
Fachbereich: Chemische Technik
Genre: Importe, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781032339160
ISBN-10: 1032339160
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Rossiter, J. A.
Auflage: 2. Auflage
Hersteller: Taylor & Francis Ltd
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 152 x 235 x 27 mm
Von/Mit: J. A. Rossiter
Erscheinungsdatum: 12.07.2022
Gewicht: 0,728 kg
Artikel-ID: 122044199
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