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In this paper, the problem of stochastic robust stability of interval time-varying delay neural networks with Markovian jump parameters is investigated. The jumping parameters are modeled as a continuous-time, discrete-state Markov process. The linear factional uncertainty is considered, it means that a less conservative result will be obtained than using norm-bounded parameter uncertainties. And...
In this paper, we investigate the time-delay dependent robust stability problem for discrete-time neural networks with mode-dependent time delays. The jumping parameters are considered as discrete-time, discrete-state Markov process. The delay factor depends on the mode of operation. The linear factional uncertainty is considered, which means that less conservative results is obtained than using norm-bounded...
This paper considers the robust Hinfin filtering problem for uncertain discrete-time T-S fuzzy systems with time-varying delays where the variations of the parameters are not random. The uncertainties we investigate in this paper are norm-bounded. The problem is the design of a stable filter and a prescribed Hinfin performance of the filtering error system for all admissible uncertainties. Based on...
In this paper, the time-delay dependent robust stability problem is investigated for Markovian jump discrete-time neural networks with mode-dependent time delays. The jumping parameters are considered as discrete-time, discrete-state Markov process. The linear factional uncertainty is considered, it means that less conservative results will be obtained than using norm-bounded parameter uncertainties...
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