Fixed‐time synchronization for complex‐valued BAM neural networks with time delays
Copyright policy )Fixed‐time synchronization for complex‐valued BAM neural networks with time delays
AbstractIn this paper, the fixed‐time synchronization for complex‐valued bidirectional associative memory (BAM) neural networks with time delays is studied. Based on the fixed‐time stability, the Lyapunov functional method and some inequality techniques, a new criterion is presented to guarantee that the addressed systems achieve synchronization in fixed time and a more accurate estimation independent of the initial conditions is given for the settling time. Meanwhile, a new nonlinear delayed controller different from the existing ones is designed. In the end, two numerical examples are provided to illustrate the effectiveness of the obtained result.
- Shandong University of Science and Technology China (People's Republic of)
- Shandong Women’s University China (People's Republic of)
- Lakehead University Canada
- Nanjing University of Science and Technology China (People's Republic of)
- Qingdao University China (People's Republic of)
complex-valued BAM neural networks, time delays, Delay control/observation systems, Lyapunov and other classical stabilities (Lagrange, Poisson, \(L^p, l^p\), etc.) in control theory, Variable structure systems, fixed-time synchronization, Decentralized systems, nonlinear delayed controller
complex-valued BAM neural networks, time delays, Delay control/observation systems, Lyapunov and other classical stabilities (Lagrange, Poisson, \(L^p, l^p\), etc.) in control theory, Variable structure systems, fixed-time synchronization, Decentralized systems, nonlinear delayed controller
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