Extended Dissipative State Estimation for Markov Jump Neural Networks With Unreliable Links

2017 ◽  
Vol 28 (2) ◽  
pp. 346-358 ◽  
Author(s):  
Hao Shen ◽  
Yanzheng Zhu ◽  
Lixian Zhang ◽  
Ju H. Park
Keyword(s):  
Neural Networks ◽  
State Estimation ◽  
Markov Jump ◽  
Unreliable Links ◽  
Dissipative State

Event-triggered dissipative state estimation for Markov jump neural networks with random uncertainties

2019 ◽  
Vol 356 (17) ◽  
pp. 10155-10178 ◽  
Author(s):  
Jing Wang ◽  
Mengping Xing ◽  
Yonghui Sun ◽  
Jianzhen Li ◽  
Junwei Lu
Keyword(s):  
Neural Networks ◽  
State Estimation ◽  
Markov Jump ◽  
Random Uncertainties ◽  
Event Triggered ◽  
Dissipative State

Generalised state estimation of Markov jump neural networks based on the Bessel–Legendre inequality

2019 ◽  
Vol 13 (9) ◽  
pp. 1284-1290 ◽  
Author(s):  
Hao Shen ◽  
Shiyu Jiao ◽  
Jianwei Xia ◽  
Ju H. Park ◽  
Xia Huang
Keyword(s):  
Neural Networks ◽  
State Estimation ◽  
Markov Jump

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

2019 ◽  
Vol 17 (5) ◽  
pp. 1131-1140 ◽  
Author(s):  
Jianning Li ◽  
Zhujian Li ◽  
Yufei Xu ◽  
Kaiyang Gu ◽  
Wendong Bao ◽  
...  
Keyword(s):  
Neural Networks ◽  
State Estimation ◽  
Markov Jump ◽  
Fragile State ◽  
Sensor Failures ◽  
Event Triggered

Extended dissipative state estimation of delayed stochastic neural networks

2020 ◽  
Vol 406 ◽  
pp. 244-252 ◽  
Author(s):  
Ramasamy Saravanakumar ◽  
Hiroaki Mukaidani ◽  
P. Muthukumar
Keyword(s):  
Neural Networks ◽  
State Estimation ◽  
Stochastic Neural Networks ◽  
Dissipative State
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