Combined Finite-Time State Feedback Design for Discrete-Time Neural Networks with Time-Varying Delays and Disturbances

被引：2
|
作者：
Tong, Yinghao [1 ]
Ren, Zhengyun [1 ]
Tong, Dongbing [2 ]
Fan, Zhiping [1 ]
Feng, Xue [1 ]
机构：
[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai 200051, Peoples R China
[2] Shanghai Univ Engn Sci, Coll Elect & Elect Engn, Shanghai 201620, Peoples R China
来源：
NEURAL PROCESSING LETTERS | 2023年 / 55卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Neural networks; Finite-time; State estimation; Nonlinear items; Time-varying delay; STABILITY-CRITERIA; SYSTEMS; ROBUST; MULTIPLE;
D O I：
10.1007/s11063-023-11289-y
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a finite-time state feedback structure is designed for neural networks with time-varying delays and disturbances. Firstly, finite-time state estimators and finite-time controllers are designed for neural networks to form combined finite-time state feedback structures. Secondly, closed-loop systems composed of neural network systems and estimation error systems are obtained. Then, based on the Lyapunov stability theory, the finite-time stability theory and LMIs technology, finite-time bounded conditions of closed-loop systems are obtained. Finally, the validity of the obtained results is verified by two examples.
引用
收藏
页码：7907 / 7931
页数：25
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