An adaptive RBF Controller for a class of Nonaffine Nonlinear systems

被引：0
|
作者：
Kumar, Pramendra [1 ]
Panwar, Vikas [1 ]
Singh, Dipti [1 ]
机构：
[1] Gautam Buddha Univ, Dept SoVSAS, Greater Noida, India
来源：
INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER SCIENCE | 2021年 / 16卷 / 01期
关键词：
NonAffine Nonlinear system; Lyapunov stability theory; RBF neural network; Nussbaum function;
D O I：
暂无
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this paper, an RBF neural adaptive control scheme is developed for a class of uncertain nonaffine nonlinear system. RBF neural network and Nussbaum function have been used to find the unknown part of control system. The Lyapunov theory is used to prove the stability of proposed control law and the update law. A Simulation example is provided to check the effectiveness of controller.
引用
收藏
页码：67 / 77
页数：11
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