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Stochastic stability and L_1-gain analysis for positive nonlinear semi-Markov jump systems with time-varying delay via T-S fuzzy model approach

机译:基于T-S模糊模型的时滞正非线性半马尔可夫跳跃系统的随机稳定性和L_1增益分析

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This paper treats the issues of stochastic stability and L-1-gain analysis for continuous-time positive fuzzy semi-Markov jump systems (PFSMJSs) with time-varying delay. The system under consideration involves semi-Markov stochastic process related to Weibull distribution. The practical systems such as Lotka-Volterra population model described by PFSMJSs always need to consider the sudden change in the operating process. To deal with these problems, a sufficient condition for stochastic stability of PFSMJSs is established, which is dependent of the bound of time-varying delay. Then, based on the obtained results, L-1-gain performance is analyzed in standard linear programming (LP). Finally, Lotka-Volterra population model shows the validity of the conclusions. (C) 2018 Elsevier B.V. All rights reserved.
机译:本文研究时变时滞连续时间正模糊半马氏跳系统(PFSMJSs)的随机稳定性和L-1增益分析问题。所考虑的系统涉及与威布尔分布有关的半马尔可夫随机过程。诸如PFSMJS描述的Lotka-Volterra人口模型之类的实际系统始终需要考虑操作过程中的突然变化。为了解决这些问题,建立了PFSMJSs随机稳定性的充分条件,该条件取决于时变延迟的范围。然后,基于获得的结果,在标准线性规划(LP)中分析L-1增益性能。最后,Lotka-Volterra人口模型证明了结论的有效性。 (C)2018 Elsevier B.V.保留所有权利。

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