Regular Papers
International Journal of Control, Automation and Systems 2019; 17(5): 1131-1140
Published online May 4, 2019
https://doi.org/10.1007/s12555-018-0505-z
© The International Journal of Control, Automation, and Systems
Event-triggered Non-fragile State Estimation for Discrete Nonlinear Markov Jump Neural Networks with Sensor Failures
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"
Keywords Event-trigger mechanism, Markov jump, neural networks, non-fragile state estimation
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Regular Papers
International Journal of Control, Automation and Systems 2019; 17(5): 1131-1140
Published online May 1, 2019 https://doi.org/10.1007/s12555-018-0505-z
Copyright © The International Journal of Control, Automation, and Systems.
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
Hangzhou Dianzi University
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"
Keywords: Event-trigger mechanism, Markov jump, neural networks, non-fragile state estimation
Vol. 22, No. 9, pp. 2673~2953
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