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

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

Article

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

IJCAS
May 2024

Vol. 22, No. 5, pp. 1461~1759

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