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Exponential State Estimation for Delayed Competitive Neural Network Via Stochastic Sampled-Data Control with Markov Jump Parameters Under Actuator Failure Cover

Exponential State Estimation for Delayed Competitive Neural Network Via Stochastic Sampled-Data Control with Markov Jump Parameters Under Actuator Failure

Journal of Artificial Intelligence and Soft Computing Research
Volume 14 (2024): Issue 4 (July 2024)
By: Yang Cao,  A.R. Subhashri,  A. Chandrasekar,  T. Radhika and  Krzysztof Przybyszewski  
Open Access
|Jul 2024

Authors

Yang Cao

School of Cyber Science and Engineering, Southeast University, Nanjing, China

A.R. Subhashri

Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India

A. Chandrasekar

Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India

T. Radhika

radhigru@gmail.com

Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India

Krzysztof Przybyszewski

Institute of Information Technologies, University of Social Sciences, Łódź, Poland
DOI: https://doi.org/10.2478/jaiscr-2024-0020
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Language: English
Page range: 373 - 385
Submitted on: May 23, 2024
|
Accepted on: Jul 15, 2024
|
Published on: Jul 29, 2024
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
stochastic sampled-data control,
competitive neural networks,
state estimation,
Markov jump,
actuator failure
Related subjects:
Computer sciences,
Artificial intelligence,
Databases and data mining

© 2024 Yang Cao, A.R. Subhashri, A. Chandrasekar, T. Radhika, Krzysztof Przybyszewski, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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