Stabilization of Unknown Nonlinear Discrete-Time Delay Systems Based on Neural Network

Vinay Kumar Deolia; Shubhi Purwar; Tripti Nath Sharma

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Stabilization of Unknown Nonlinear Discrete-Time Delay Systems Based on Neural Network

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This paper discusses about the stabilization of unknown nonlinear discrete-time fixed state delay systems. The unknown system nonlinearity is approximated by Chebyshev neural network (CNN), and weight update law is presented for approximating the system nonlinearity. Using appropriate Lyapunov-Krasovskii functional the stability of the nonlinear system is ensured by the solution of linear matrix inequalities. Finally, a relevant example is given to illustrate the effectiveness of the proposed control scheme.

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《智能控制与自动化（英文）》 |2012年第4期|337-345|共9页
作者
Vinay Kumar Deolia; Shubhi Purwar; Tripti Nath Sharma;
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作者单位

Department of Electrical Engineering;

Motilal Nehru National Institute of Technology (MNNIT);

Allahabad;

India;

Department of Electronics & Communications Engineering;

G. L. A. University;

Mathura;

India;

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原文格式 PDF
正文语种 chi
中图分类自动化基础理论;
关键词
Discrete-Time; Delay; Nonlinear; Systems; Lyapunov; Stability; Linear; Matrix; Inequality; (LMI);

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1. Robust Sliding Mode Control for Nonlinear Discrete-Time Delayed Systems Based on Neural Network [J] . Vishal Goyal ,Vinay Kumar Deolia ,Tripti Nath Sharma . 智能控制与自动化（英文） . 2015,第1期
2. Robust Stabilization of Nonlinear Time Delay Discrete-time Systems Based on T-S Model [J] . MI Yang ,JING Yuan-Wei . 自动化学报 . 2006,第2期
3. Nonlinear System Modeling Based onDistributed Neural Networks [C] . . 第九届过程控制科学报告会(上、下) . 1998
4. Optimized Hybrid Neural Network Based on Complex System Model for Wireless Sensor Network in Underground Mining Environment [A] . MARY OPOKUA ANSONG . 2014

Stabilization of Unknown Nonlinear Discrete-Time Delay Systems Based on Neural Network

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