A Dynamic Event-Triggered Approach to State Estimation for Switched Memristive Neural Networks With Nonhomogeneous Sojourn Probabilities

IEEE Transactions on Circuits and Systems I Regular Papers ◽

10.1109/tcsi.2021.3117694 ◽

2021 ◽

pp. 1-11

Author(s):

Jun Cheng ◽

Lidan Liang ◽

Ju H. Park ◽

Huaicheng Yan ◽

Kezan Li

Keyword(s):

Neural Networks ◽

State Estimation ◽

Memristive Neural Networks ◽

Dynamic Event ◽

Event Triggered

Dissipative State Estimation for Delayed Discrete-Time Memristive Neural Networks Under Dynamic Event-Triggered Mechanisms and Deception Attacks

10.1109/icnc52316.2021.9607893 ◽

2021 ◽

Author(s):

Huimin Tao ◽

Hongjian Liu ◽

Jiali Zhu ◽

Hailong Tan

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Memristive Neural Networks ◽

Dynamic Event ◽

Event Triggered ◽

Dissipative State

Finite-horizon ${H_{\infty }}$ State Estimation for Discrete-Time Memristive Neural Networks with Time-Varying Delays and Fading Channels: A Dynamic Event-Triggered Approach

10.1109/icnc52316.2021.9608583 ◽

2021 ◽

Author(s):

Jiali Zhu ◽

Hongjian Liu ◽

Huimin Tao ◽

Hailong Tan

Keyword(s):

Neural Networks ◽

State Estimation ◽

Fading Channels ◽

Discrete Time ◽

Finite Horizon ◽

Time Varying ◽

Memristive Neural Networks ◽

Dynamic Event ◽

Event Triggered

Resilient H∞ State Estimation for Discrete-Time Stochastic Delayed Memristive Neural Networks: A Dynamic Event-Triggered Mechanism

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2020.3021556 ◽

2020 ◽

pp. 1-10

Author(s):

Hongjian Liu ◽

Zidong Wang ◽

Weiyin Fei ◽

Jiahui Li

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Memristive Neural Networks ◽

Dynamic Event ◽

Event Triggered

Resilient H∞ State Estimation for Discrete-Time Stochastic Delayed Memristive Neural Networks: A Dynamic Event-Triggered Mechanism

Stability Analysis and State Estimation of Memristive Neural Networks ◽

10.1201/9781003189152-9 ◽

2021 ◽

pp. 151-168

Author(s):

Hongjian Liu ◽

Zidong Wang ◽

Lifeng Ma

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Memristive Neural Networks ◽

Dynamic Event ◽

Event Triggered

Event-Triggered $H_\infty$ State Estimation for Delayed Stochastic Memristive Neural Networks With Missing Measurements: The Discrete Time Case

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2017.2728639 ◽

2018 ◽

Vol 29 (8) ◽

pp. 3726-3737 ◽

Cited By ~ 49

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Memristive Neural Networks ◽

Missing Measurements ◽

Discrete Time Case ◽

Event Triggered

Event-Triggered H∞ State Estimation for Delayed Stochastic Memristive Neural Networks with Missing Measurements: The Discrete Time Case

Stability Analysis and State Estimation of Memristive Neural Networks ◽

10.1201/9781003189152-3 ◽

2021 ◽

pp. 33-54

Author(s):

Hongjian Liu ◽

Zidong Wang ◽

Lifeng Ma

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Memristive Neural Networks ◽

Missing Measurements ◽

Discrete Time Case ◽

Event Triggered

Finite-time resilient H∞ state estimation for discrete-time delayed neural networks under dynamic event-triggered mechanism

Neural Networks ◽

10.1016/j.neunet.2019.09.006 ◽

2020 ◽

Vol 121 ◽

pp. 356-365 ◽

Cited By ~ 18

Author(s):

Yufei Liu ◽

Bo Shen ◽

Huisheng Shu

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Finite Time ◽

Delayed Neural Networks ◽

Dynamic Event ◽

Event Triggered

Synchronization of inertial memristive neural networks with time-varying delays via static or dynamic event-triggered control

Neurocomputing ◽

10.1016/j.neucom.2020.04.099 ◽

2020 ◽

Vol 404 ◽

pp. 367-380 ◽

Cited By ~ 3

Author(s):

Wei Yao ◽

Chunhua Wang ◽

Yichuang Sun ◽

Chao Zhou ◽

Hairong Lin

Keyword(s):

Neural Networks ◽

Time Varying ◽

Memristive Neural Networks ◽

Dynamic Event ◽

Event Triggered

Exponential Synchronization of Memristive Neural Networks with Discrete and Distributed Time-Varying Delays via Event-Triggered Control

Discrete Dynamics in Nature and Society ◽

10.1155/2021/5575849 ◽

2021 ◽

Vol 2021 ◽

pp. 1-15

Author(s):

Biwen Li ◽

Wenbo Zhou

Keyword(s):

Neural Networks ◽

Exponential Synchronization ◽

Time Varying ◽

Memristive Neural Networks ◽

Dynamic Event ◽

Synchronization Problem ◽

Event Triggering ◽

Triggering Conditions ◽

Theoretical Results ◽

Event Triggered

In this paper, we investigate the exponential synchronization problem of memristive neural networks (MNNs) with discrete and distributed time-varying delays under event-triggered control. An event-triggered controller with the static and dynamic event-triggering conditions is designed to improve the efficiency of resource utilization. By constructing a new Lyapunov function, some sufficient criteria are obtained to realize the exponential synchronization of considered drive-response MNNs under the designed event-triggered controller. In addition, the Zeno behavior will not occur by proving that the event-triggering interval has a positive lower bound under different event-triggering conditions. Finally, a numerical example is provided to prove the validity of our theoretical results.

Dynamic Event-Triggered State Estimation for Markov Jump Neural Networks With Partially Unknown Probabilities

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2021.3085001 ◽

2021 ◽

pp. 1-10

Author(s):

Jie Tao ◽

Zehui Xiao ◽

Zeyu Li ◽

Jun Wu ◽

Renquan Lu ◽

...

Keyword(s):

Neural Networks ◽

State Estimation ◽

Markov Jump ◽

Dynamic Event ◽

Event Triggered