基于Lyapunov稳定性的自适应神经网络控制方案  

The Adaptive Neural Control Scheme Based on Lyapunov Stability

作　　者：冯莉颖[1] 任怀庆[2] 

机构地区：[1]海南科技职业学院教务处,海南海口571126 [2]通化师范学院计算机学院,吉林通化134002

出　　处：《吉林师范大学学报（自然科学版）》2017年第2期130-133,共4页Journal of Jilin Normal University:Natural Science Edition

基　　金：吉林省科技发展计划项目(20140101206JC-06)

摘　　要：提出了一种基于Lyapunov稳定性的自适应控制律,使用神经网络模型综合分析非线性动力学系统的控制问题.基于Lyapunov稳定控制律开发出了一种改进的自适应神经网络控制方案,并给出了具有未知非线性一阶仿射系统的仿真控制演示,实验结果表明该神经网络自适应控制方案具有良好的非线性控制能力.An adaptive control law based on Lyapunov stability is presented in this paper, and nonlinear control of an uncertain dynamic system is carried on through comprehensive neural network model. A kind of adaptive control scheme adopted neural network is developed based on Lyapunov stability, and the corresponding simulation control test are given in detail, the experimental results show that the neural network adaptive control scheme has good nonlinear control ability.

关 键 词：非线性系统 LYAPUNOV稳定性 非线性神经网络 自适应稳定控制 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]