Dissipativity-based state estimation for Markov jump discrete-time neural networks with unreliable communication links

Neurocomputing ◽

10.1016/j.neucom.2014.02.055 ◽

2014 ◽

Vol 139 ◽

pp. 107-113 ◽

Author(s):

Jing Wang ◽

Fengqi Yao ◽

Hao Shen

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Markov Jump ◽

Communication Links

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Non-fragile finite-timel2−l∞state estimation for discrete-time Markov jump neural networks with unreliable communication links

Applied Mathematics and Computation ◽

10.1016/j.amc.2015.09.029 ◽

2015 ◽

Vol 271 ◽

pp. 467-481 ◽

Author(s):

Feng Li ◽

Hao Shen ◽

Mengshen Chen ◽

Qingkai Kong

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Markov Jump ◽

Communication Links

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Extended dissipative state estimation for uncertain discrete-time Markov jump neural networks with mixed time delays

ISA Transactions ◽

10.1016/j.isatra.2016.11.004 ◽

2017 ◽

Vol 66 ◽

pp. 200-208 ◽

Author(s):

Qian Li ◽

Qingxin Zhu ◽

Shouming Zhong ◽

Fuli Zhong

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Time Delays ◽

Markov Jump ◽

Mixed Time Delays ◽

Dissipative State

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Finite-time H∞ asynchronous state estimation for discrete-time fuzzy Markov jump neural networks with uncertain measurements

Fuzzy Sets and Systems ◽

10.1016/j.fss.2018.01.017 ◽

2019 ◽

Vol 356 ◽

pp. 113-128 ◽

Author(s):

Hao Shen ◽

Mengping Xing ◽

Shicheng Huo ◽

Zheng-Guang Wu ◽

Ju H. Park

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Finite Time ◽

Markov Jump ◽

Asynchronous State

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state estimation of discrete-time markov jump neural networks with general transition probabilities and output quantization

The Journal of Difference Equations and Applications ◽

10.1080/10236198.2017.1368501 ◽

2017 ◽

Vol 23 (11) ◽

pp. 1824-1852 ◽

Author(s):

R. Sasirekha ◽

R. Rakkiyappan ◽

Jinde Cao ◽

Ying Wan ◽

Ahmed Alsaedi

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Transition Probabilities ◽

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Asynchronous $$l_{2}$$–$$l_{\infty }$$ Filtering for Discrete-Time Fuzzy Markov Jump Neural Networks with Unreliable Communication Links

Neural Processing Letters ◽

10.1007/s11063-020-10337-1 ◽

2020 ◽

Vol 52 (3) ◽

pp. 2069-2088

Author(s):

Yigang Zhang ◽

Jianwei Xia ◽

Xia Huang ◽

Jing Wang ◽

Hao Shen

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Markov Jump ◽

Communication Links

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Robust dissipativity and passivity based state estimation for discrete-time stochastic Markov jump neural networks with discrete and distributed time-varying delays

Neural Computing and Applications ◽

10.1007/s00521-015-2100-z ◽

2015 ◽

Vol 28 (4) ◽

pp. 717-735 ◽

Author(s):

G. Nagamani ◽

S. Ramasamy ◽

Anke Meyer-Baese

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Time Varying ◽

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Non-fragile dissipative state estimation for semi-Markov jump inertial neural networks with reaction-diffusion

Applied Mathematics and Computation ◽

10.1016/j.amc.2021.126404 ◽

2021 ◽

Vol 411 ◽

pp. 126404

Author(s):

Lin Sun ◽

Lei Su ◽

Jing Wang

Keyword(s):

Neural Networks ◽

State Estimation ◽

Reaction Diffusion ◽

Markov Jump ◽

Inertial Neural Networks ◽

Dissipative State

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On State Estimation for Discrete Time-Delayed Memristive Neural Networks Under the WTOD Protocol: A Resilient Set-Membership Approach

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2021.3049306 ◽

2021 ◽

pp. 1-11

Author(s):

Hongjian Liu ◽

Zidong Wang ◽

Weiyin Fei ◽

Hongli Dong

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Memristive Neural Networks ◽

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State estimation for discrete-time Markov jump linear systems with multiplicative noises and delayed mode measurements

Digital Signal Processing ◽

10.1016/j.dsp.2014.04.002 ◽

2014 ◽

Vol 30 ◽

pp. 27-36 ◽

Author(s):

Wei Liu ◽

Guangzhen Hu

Keyword(s):

State Estimation ◽

Linear Systems ◽

Discrete Time ◽

Markov Jump ◽

Jump Linear Systems ◽

Multiplicative Noises ◽

Markov Jump Linear Systems

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Resilient H∞ filtering for discrete-time uncertain Markov jump neural networks over a finite-time interval

Neurocomputing ◽

10.1016/j.neucom.2015.12.052 ◽

2016 ◽

Vol 185 ◽

pp. 212-219 ◽

Author(s):

Mengshen Chen ◽

Long Zhang ◽

Hao Shen

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Finite Time ◽

Time Interval ◽

Finite Time Interval ◽

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