DocumentCode :
3538037
Title :
Unfalsified adaptive control: Finding the best controller among candidate controllers
Author :
Seunggyun Cheong
Author_Institution :
Australian Centre for Field Robot. (ACFR), Univ. of Sydney, Sydney, NSW, Australia
fYear :
2013
fDate :
10-13 Dec. 2013
Firstpage :
6910
Lastpage :
6915
Abstract :
A new switching algorithm for unfalsified adaptive control is developed to accommodate a pair of cost functions, called a primary and a secondary cost functions. In this switching algorithm, the primary cost function is designed to satisfy certain conditions to ensure the unfalsified stability of the adaptive switching control system. On the other hand, the secondary cost function can be designed based on a performance measure of interests without any condition to satisfy. Thus, both prediction-based and data-based cost functions are allowed for the secondary cost function. When there are multiple stabilizing controllers in the candidate controller set, this secondary cost function is a tool to find the best controller among the stabilizing controllers.
Keywords :
adaptive control; control system synthesis; control systems; stability; time-varying systems; adaptive switching control system; data-based cost function; multiple stabilizing controllers; prediction-based cost function; primary cost function; secondary cost function; switching algorithm; unfalsified adaptive control; unfalsified stability; Adaptive control; Algorithm design and analysis; Cost function; Predictive models; Stability analysis; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
ISSN :
0743-1546
Print_ISBN :
978-1-4673-5714-2
Type :
conf
DOI :
10.1109/CDC.2013.6760984
Filename :
6760984
Link To Document :
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