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This paper develops a unified framework to study the finite-time and fixed-time stabilization (FFTS) of neural networks (NNs) with general activations and external disturbances. A new distributed control algorithm is… Click to show full abstract
This paper develops a unified framework to study the finite-time and fixed-time stabilization (FFTS) of neural networks (NNs) with general activations and external disturbances. A new distributed control algorithm is designed to achieve the goal of FFTS for the NNs with either continuous or discontinuous activations. An upper-bound of the stabilization time is determined based on the control parameters. Numerical simulations are provided to demonstrate the robustness and disturbance rejection of the proposed control algorithm.
Journal Title: Circuits, Systems, and Signal Processing
Year Published: 2019
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