Observer-Based H∞ fuzzy control for T-S fuzzy neural networks with random data losses

Authors:
Xiaoning Duan
Affiliations:
Zhejiang Agriculture and Business College, Shaoxing, China
Venue:
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
Year:
2013

Citing 2
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Linear minimum mean square filter for discrete-time linear systems with Markov jumps and multiplicative noises

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Robust Control for Networked Systems With Random Packet Losses

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Abstract

This paper investigates the observer-based H∞ control problem for a class of discrete-time Takagi-Sugeno fuzzy neural networks with both random communication packet losses. The random data losses are described by a Bernoulli distributed white sequence that obeys a conditional probability distribution. In the presence of random packet losses, sufficient conditions for the existence of an observer-based feedback controller are derived, such that the closed-loop control system is asymptotically mean-square stable and preserves a guaranteed H∞ performance. Finally, a numerical example is provided to illustrate the effectiveness of the developed theoretical results.