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Event-triggered Non-fragile State Estimation for Discrete Nonlinear Markov Jump Neural Networks with Sensor Failures

Jianning Li*, Zhujian Li, Yufei Xu, Kaiyang Gu, Wendong Bao, and Xiaobin Xu
International Journal of Control, Automation, and Systems, vol. 17, no. 5, pp.1131-1140, 2019

Abstract : "This paper investigates the non-fragile state estimation problem for discrete nonlinear Markov jump neural networks(MJNNs) with sensor failures. Due to the limit communication resource, we adopt a kind of eventtriggered mechanism to determine whether the sensor sampling information is sent or not. By selecting suitable Lyapunov functions, a sufficient condition is obtained to guarantee the mean-square exponential stability of the augmented system. Finally, a numerical example is given to show the effectiveness of the proposed method"

Keyword : Event-trigger mechanism, Markov jump, neural networks, non-fragile state estimation

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