| Biography | |
|---|---|
 Prof. Grienggrai Rajchakit Department of Mathematics Faculty of Science, Maejo University Chiang Mai, Thailand |
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| Title: Stability of neural networks | |
| Abstract: In this talk, the problem of stability analysis for neural Networks are studied in this paper. In order to handle this issue, an appropriate Lyapunov-Krasovskii functional (LKF) is constructed and by employing obtained multiple integral inequality, some sufficient conditions are derived in terms of simplified linear matrix inequalities (LMIs), whose Matlab LMI toolbox makes it easy to demonstrate feasible solutions. Finally, numerical examples are given to validate the efficiency of the obtained results. | |
| Biography: Grienggrai Rajchakit was born in 1981. He received the B.S. degree in mathematics from Thammasat University, Bangkok, Thailand, in 2003, the M.S. degree in applied mathematics from Chiang Mai University, Chiang Mai, Thailand, in 2005, and the Ph.D. degree in applied mathematics from the King Mongkut’s University of Technology Thonburi, Bangkok, in the field of mathematics with specialized area of stability and control of neural networks. He is currently working as a Lecturer with the Department of Mathematics, Faculty of Science, Maejo University, Chiang Mai. He has authored or coauthored more than 163 research articles in various SCI journals. His research interests include complex-valued NNs, complex dynamical networks, control theory, stability analysis, sampled-data control, multi-agent systems, T-S fuzzy theory, and cryptography. He was a recipient of the Thailand Frontier Author Award by the Thomson Reuters Web of Science in 2016 and the TRF-OHEC-Scopus Researcher Award by the Thailand Research Fund (TRF), Office of the Higher Education Commission (OHEC) and Scopus in 2016. He also serves as a reviewer for various SCI journals. | |
