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