Real-time Optimal Control of Autonomous Switched Systems

Xu Chu Ding

ISBN 10: 3838398009 / ISBN 13: 9783838398006

Published by LAP LAMBERT Academic Publishing Sep 2010, 2010

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -This work provides a real-time algorithmic optimal control framework for autonomous switched systems. Traditional optimal control approaches for autonomous switched systems are open-loop in nature. Therefore, the switching times of the system can not be adjusted or adapted when the system parameters or the operational environments change. This work aims to close this loop, and apply adaptations to the optimal switching strategy based on new information that can only be captured on-line. One important contribution of this work is to provide the means to allow feedback (in a general sense) to the control laws (i.e. the switching times) of the switched system so that the control laws can be updated to maintain optimality of the switching-time control inputs. Furthermore, convergence analysis for the proposed algorithms are presented. The effectiveness of the real-time algorithms is demonstrated by an application in optimal formation and coverage control of a networked system. This application is implemented on a realistic simulation framework consisting of a number of Unmanned Aerial Vehicles (UAVs) that interact in a virtual 3D world.Books on Demand GmbH, Überseering 33, 22297 Hamburg 148 pp. Englisch.

Seller Inventory # 9783838398006

Bibliographic Details

• Title: Real-time Optimal Control of Autonomous Switched Systems
• Publisher: LAP LAMBERT Academic Publishing Sep 2010
• Publication Date: 2010
• Language: English
• ISBN 10: 3838398009
• ISBN 13: 9783838398006
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

This work provides a real-time algorithmic optimal control framework for autonomous switched systems. Traditional optimal control approaches for autonomous switched systems are open-loop in nature. Therefore, the switching times of the system can not be adjusted or adapted when the system parameters or the operational environments change. This work aims to close this loop, and apply adaptations to the optimal switching strategy based on new information that can only be captured on-line. One important contribution of this work is to provide the means to allow feedback (in a general sense) to the control laws (i.e. the switching times) of the switched system so that the control laws can be updated to maintain optimality of the switching-time control inputs. Furthermore, convergence analysis for the proposed algorithms are presented. The effectiveness of the real-time algorithms is demonstrated by an application in optimal formation and coverage control of a networked system. This application is implemented on a realistic simulation framework consisting of a number of Unmanned Aerial Vehicles (UAVs) that interact in a virtual 3D world.

About the Author

Xu Chu Ding received his B.S., M.S. and Ph.D. degree in Electrical and Computer Engineering from the Georgia Institute of Technology, Atlanta, in 2004, 2007 and 2009, respectively. His research interests include optimal control of hybrid systems and intelligent and persistent surveillance with a network of mobile agents.