A First Course in Predictive Control

2. New Auflage 2018
ISBN: 978-1-138-09934-0
Verlag: Taylor & Francis Ltd

Buch, Englisch, 426 Seiten, Format (B × H): 156 mm x 237 mm, Gewicht: 772 g

Reihe: Control Series

The book presents a significant expansion in depth and breadth of the previous edition. It includes substantially more numerical illustrations and copious supporting MATLAB code that the reader can use to replicate illustrations or build his or her own. The code is deliberately written to be as simple as possible and easy to edit. The book is an excellent starting point for any researcher to gain a solid grounding in MPC concepts and algorithms before moving into application or more advanced research topics. Sample problems for readers are embedded throughout the chapters, and in-text questions are designed for readers to demonstrate an understanding of concepts through numerical simulation.

Autoren/Hrsg.

Rossiter, J.A. (University of Sheffield, UK)

Rossiter, J.A.

Fachgebiete

• Technische Wissenschaften Technik Allgemein Technik: Allgemeines
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Verfahrenstechnik, Chemieingenieurwesen
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

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.

Über Autor(innen)

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.