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
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;
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2008.4587315
