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Updated: Jun 24, 2025

A Method for Growing Bio-memristors from Slime Mold
Published on: November 2, 2017
Sliding mode control for uncertain fractional-order reaction-diffusion memristor neural networks with time delays
Yue Cao1, Yonggui Kao1, Zhen Wang2
1Department of Mathematics, Harbin Institute of Technology, Weihai 264209, China.
Abstract:
This paper investigates a sliding mode control method for a class of uncertain delayed fractional-order reaction-diffusion memristor neural networks. Different from most existing literature on sliding mode control for fractional-order reaction-diffusion systems, this study constructs a linear sliding mode switching function and designs the corresponding sliding mode control law. The sufficient theory for the globally asymptotic stability of the sliding mode dynamics are provided, and it is proven that the sliding mode surface is finite-time reachable under the proposed control law, with an estimate of the maximum reaching time. Finally, a numerical test is presented to validate the effectiveness of the theoretical analysis.
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