DocumentCode
2394608
Title
Practical robust adaptive control: Benchmark example
Author
Kuipers, Matthew ; Ioannou, Petros
Author_Institution
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA
fYear
2008
fDate
11-13 June 2008
Firstpage
5168
Lastpage
5173
Abstract
A novel disturbance rejection solution for a benchmark mass-spring-damper (MSD) system is presented. The proposed design, adaptive mixing control (AMC,) is a deterministic multiple model adaptive control (MMAC) approach that mixes candidate controllers by monitoring real-time estimates of an unknown parameter. Monte Carlo simulations are conducted to compare the performance of the AMC scheme with a stochastic robust MMAC (RMMAC) scheme, as well as a nonadaptive mixed-mu compensator.
Keywords
Monte Carlo methods; adaptive control; control system synthesis; robust control; springs (mechanical); vibration control; Monte Carlo simulations; adaptive mixing control; disturbance rejection solution; mass-spring-damper system; multiple model adaptive control; nonadaptive mixed-mu compensator; practical robust adaptive control; Adaptive control; Condition monitoring; Control systems; Programmable control; Robust control; Robust stability; Robustness; Switches; Testing; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2008
Conference_Location
Seattle, WA
ISSN
0743-1619
Print_ISBN
978-1-4244-2078-0
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2008.4587315
Filename
4587315
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