1. Multiple-model adaptive control using set-valued observers.
- Author
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Rosa, Paulo and Silvestre, Carlos
- Subjects
- *
ADAPTIVE control systems , *UNCERTAIN systems , *DYNAMIC models , *DASHPOTS (Mechanical devices) , *SIMULATION methods & models - Abstract
SUMMARY A multiple-model adaptive control methodology is proposed that is able to provide stability and performance guarantees, for uncertain linear parameter-varying plants. The identification problem is addressed by taking advantage of recent advances in model falsification using set-valued observers (SVOs). These SVOs provide set-valued estimates of the state of the system, according to its dynamic model. If such estimate is the empty set, the underlying dynamic model is invalidated, and a different controller is connected to the loop. The behavior of the proposed control algorithm is demonstrated in simulation, by resorting to a mass-spring-dashpot system. As a caveat, the computational burden associated with the SVOs can be prohibitive under some circumstances. Copyright © 2013 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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