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New Event Based H∞ State Estimation for Discrete-Time Recurrent Delayed Semi-Markov Jump Neural Networks Via a Novel Summation Inequality Cover

New Event Based H∞ State Estimation for Discrete-Time Recurrent Delayed Semi-Markov Jump Neural Networks Via a Novel Summation Inequality

Journal of Artificial Intelligence and Soft Computing Research
Volume 12 (2022): Issue 3 (July 2022)
By: Yang Cao,  K. Maheswari,  S. Dharani and  K. Sivaranjani  
Open Access
|Jul 2022

Authors

Yang Cao

caoyeacy@seu.edu.cn

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

K. Maheswari

Department of Mathematics, Kumaraguru College of Technology, Coimbatore, India

S. Dharani

Department of Mathematics, Kumaraguru College of Technology, Coimbatore, India

K. Sivaranjani

Department of Mathematics, Karunya Institute of Technology and Sciences, Coimbatore, India
DOI: https://doi.org/10.2478/jaiscr-2022-0014
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Language: English
Page range: 207 - 221
Submitted on: Feb 2, 2022
|
Accepted on: Jun 30, 2022
|
Published on: Jul 23, 2022
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Discrete-time neural networks,
Mixed time delays,
asymptotic stability,
event-triggered control
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2022 Yang Cao, K. Maheswari, S. Dharani, K. Sivaranjani, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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