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Robust multiple model adaptive control using fuzzy fusion

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3 Author(s)
Sadati, N. ; Electr. & Comput. Eng. Dept., Univ. of British Columbia, Vancouver, BC, Canada ; Dumont, G.A. ; Mahdavian, H.

A robust multiple model adaptive control strategy using fuzzy fusion (RMMAC-FF) is presented in this paper. The main idea in multi-model controllers is to identify the best model of the system at any instant of time and apply the appropriate control input to it. RMMAC-FF, integrates a fuzzy robust controller, with the fuzzy multiple model adaptive estimation and a fuzzy switching to come up with a new strong methodology to control complex systems. Simulation results of the RMMAC-FF on a two-cart system, used as a benchmark problem, verify the theory and confirm the effectiveness of the proposed controller.

Published in:

System Theory (SSST), 2010 42nd Southeastern Symposium on

Date of Conference:

7-9 March 2010