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Published on: May 8, 2021
Fixed/Preassigned-time synchronization of quaternion-valued neural networks via pure power-law control
Wanlu Wei1, Juan Yu1, Leimin Wang2
1College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, China.
Abstract:
The fixed-time synchronization and preassigned-time synchronization of quaternion-valued neural networks are concerned in this article. By developing fixed-time stability and proposing a pure power-law control scheme, some simple conditions are obtained to realize fixed-time synchronization of quaternion-valued neural networks and the upper bound of the synchronized time is provided. Furthermore, the preassigned-time synchronization of quaternion-valued neural networks is investigated based on pure power-law control design, where the synchronization time is preassigned in advance and the control gains are finite. Note that the designed controllers in this paper are the pure power-law forms, which are simpler and more effective compared with the traditional design composed of the linear part and power-law part. Eventually, an example is given to illustrate the feasibility and validity of the results obtained.
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