Reliable stability and stabilizability for complex-valued memristive neural networks with actuator failures and aperiodic event-triggered sampled-data control-Reference-Cited by-同舟云学术

Reliable stability and stabilizability for complex-valued memristive neural networks with actuator failures and aperiodic event-triggered sampled-data control

Published:2021-02 Issue: Volume:39 Page:100977
ISSN:1751-570X
Container-title:Nonlinear Analysis: Hybrid Systems
language:en
Short-container-title:Nonlinear Analysis: Hybrid Systems

Author:

Zeng Deqiang,Zhang Ruimei,Park Ju H.,Zhong Shouming,Cheng Jun,Wu Guo-Cheng

Funder

Sichuan Science and Technology Program, PR China

National Natural Science Foundation of China

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Computer Science Applications,Analysis,Control and Systems Engineering

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4. Quantized sampled-data control for synchronization of inertial neural networks with heterogeneous time-varying delays;Zhang;IEEE Trans. Neural Netw. Learn. Syst.,2018

5. Hidden Markov model-based nonfragile state estimation of switched neural network with probabilistic quantized outputs;Cheng;IEEE Trans. Cybern.,2020

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