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Robust H_{\infty } Fuzzy Output-Feedback Control With Multiple Probabilistic Delays and Multiple Missing Measurements

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4 Author(s)
Hongli Dong ; Space Control & Inertial Technol. Res. Center, Harbin Inst. of Technol., Harbin, China ; Zidong Wang ; Ho, D.W.C. ; Huijun Gao

In this paper, the robust H-control problem is investigated for a class of uncertain discrete-time fuzzy systems with both multiple probabilistic delays and multiple missing measurements. A sequence of random variables, all of which are mutually independent but obey the Bernoulli distribution, is introduced to account for the probabilistic communication delays. The measurement-missing phenomenon occurs in a random way. The missing probability for each sensor satisfies a certain probabilistic distribution in the interval. Here, the attention is focused on the analysis and design of H fuzzy output-feedback controllers such that the closed-loop Takagi-Sugeno (T-S) fuzzy-control system is exponentially stable in the mean square. The disturbance-rejection attenuation is constrained to a given level by means of the H-performance index. Intensive analysis is carried out to obtain sufficient conditions for the existence of admissible output feedback controllers, which ensures the exponential stability as well as the prescribed H performance. The cone-complementarity-linearization procedure is employed to cast the controller-design problem into a sequential minimization one that is solved by the semi-definite program method. Simulation results are utilized to demonstrate the effectiveness of the proposed design technique in this paper.

Published in:

Fuzzy Systems, IEEE Transactions on  (Volume:18 ,  Issue: 4 )