Synchronization of Fractional Order Fuzzy BAM Neural Networks With Time Varying Delays and Reaction Diffusion Terms

IEEE Access

Grienggrai Rajchakit¹  Porpattama Hammachukiattikul²  M. Syed Ali³  M. Hymavathi³  L. Palanisamy³  Sumit Saroha⁴ 

[1] Department of Mathematics, Faculty of Science, Maejo University, Chiang Mai, Thailand;Department of Mathematics, Faculty of Science, Phuket Rajabhat University (PKRU), Phuket, Thailand;Department of Mathematics, Thiruvalluvar University, Vellore, India;Department of Printing Technology (Electrical Engineering), Guru Jambheshwar University of Science and Technology, Hisar, India;

关键词: Synchronization;    time varying delays;    reaction diffusion;   

DOI  :  10.1109/ACCESS.2020.3029145

来源: DOAJ

【 摘 要 】

In this article synchronization of fractional order fuzzy BAM neural networks with time varying delays and reaction diffusion terms is studied. The time varying delays consist of discrete delays and distributed delays are considered. Then, some sufficient conditions black are presented to guarantee the global asymptotic stability of the error system by using Lyapunov-Krasovskii functional having the double integral terms, we utilized Jensens inequality techniques and LMI approach. Accordingly, we accomplished synchronization of master-slave fuzzy BAMNNs. The delay dependent stability conditions are set up in terms of linear matrix inequalities(LMIs), which can be productively understood utilizing Matlab LMI control tool box. At last, illustrative numerical results have been provided to verify the correctness and effectiveness of the obtained results.

【 授权许可】

Unknown