ISBN: 9783639010862 - robust model predictive control: complexity and optimality (10 resultados)

Paperback. Condición: New.

Condición: New.

Condición: New. In English.

Taschenbuch. Condición: Neu. Robust Model Predictive Control | Complexity and Optimality | Marcin Cychowski | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639010862 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.…

Paperback. Condición: New.

PF. Condición: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Cychowski MarcinReceived his MSc (Honours) in Electrical Engineering, WroclawnUniversity of Technology, Poland (2001), PhD in ElectronicnEngineering, Cork Institute of Technology (CIT), Ireland (2006).nHe currently works as a Researc.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…