Robust Model Predictive Control: Complexity and Optimality - Softcover

Cychowski, Marcin

Softcover

ISBN 10: 3639010868 ISBN 13: 9783639010862

Publisher: VDM Verlag Dr. Müller, 2009

Synopsis

Model predictive control (MPC) is regarded as the prime advanced control method for a wide class ofindustrial processes and perhaps one of the most significant developments in process control since the introduction of the PID controller in the early 1940’s. The success of the MPC paradigm in industryis primarily due to its unique constraint handlingcapability. This book investigates how the basicframework of model predictive control can beextended to handle uncertainty in the problem datawhile maintaining stability, feasibility and low-complexity. The framework of min-max control is studied in detail with specific emphasis upon the inherent trade-off between controller complexityand optimality. Using the concept of parametricprogramming, a practical low-complexity algorithm is presented which ensures robust closed-loop stabilitywithout severely compromising optimality. The bookshould be useful for researchers in the areas ofrobust predictive control, linear matrix inequalities and parametric programming, and practitioners who may be considering utilizing robust MPC in low-cost embedded systems areas including automotive control, MEMS and power electronics.

About this title

About the Author

Received his MSc (Honours) in Electrical Engineering, WroclawUniversity of Technology, Poland (2001), PhD in ElectronicEngineering, Cork Institute of Technology (CIT), Ireland (2006).He currently works as a Research Fellow in the Technologies forEmbedded Computing (TEC) Centre at CIT, Ireland. He is a member of the IEEE and IET.

Edition details

• Publisher: VDM Verlag Dr. Müller
• Publication date: 2009
• Language: English
• ISBN 10: 3639010868
• ISBN 13: 9783639010862
• Binding: Paperback
• Number of pages: 148