A Unified Framework for Finite-Time and Fixed-Time Stabilization of Neural Networks with General Activations and External Disturbances

Jiang Nan; Liu Xiaoyang; Cao Jinde

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A Unified Framework for Finite-Time and Fixed-Time Stabilization of Neural Networks with General Activations and External Disturbances

机译：具有一般激活和外部干扰的神经网络的有限时间和固定时间稳定的统一框架

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摘要

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.

机译：本文开发了一个统一的框架来研究具有一般激活和外部干扰的神经网络（NN）的有限时间和固定时间稳定（FFTS）。设计了一种新的分布式控制算法，以实现具有连续或不连续激活的NN的FFT的目标。根据控制参数确定稳定时间的上限。提供了数值模拟，以证明所提出的控制算法的鲁棒性和抗扰性。

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来源
《Circuits, systems, and signal processing》 |2019年第3期|1005-1022|共18页
作者
Jiang Nan; Liu Xiaoyang; Cao Jinde;
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作者单位

Jiangsu Normal Univ, Sch Business, Xuzhou 221116, Jiangsu, Peoples R China;

Nantong Univ, Sch Elect Engn, Nantong 226019, Peoples R China;

Southeast Univ, Sch Math, Nanjing 210096, Jiangsu, Peoples R China;

Jiangsu Normal Univ, Sch Math & Stat, Xuzhou 221116, Jiangsu, Peoples R China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Finite time; Fixed time; General activations; Settling time;

机译：有限时间;固定时间;一般激活;稳定时间;

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A Unified Framework for Finite-Time and Fixed-Time Stabilization of Neural Networks with General Activations and External Disturbances

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