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This paper studies a common traffic problem in China: a large number of bus lines share the same stop. In rush hours, a long queue of buses waiting to get into the stop, which causes a rise of bus delay and a drop of traffic capacity nearby. First, a cellular automaton model is proposed to simulate such traffic scenarios. Second, to re-designing such busy bus stops to enhance efficiency, some principles...
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...
Against networked motion control system with the characteristics of uncertain delay, in view of control, through using generalized predictive control algorithm, combining with the buffer and event-time driven, we provide a comprehensive compensation control solution, which solves random network transmission delay, time-series confusion and data packet loss, so effectively overcome uncertainty of actual...
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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