Adaptive control of system with hysteresis using neural networks

作     者：Li Chuntao Tan Yonghong 

作者机构：Coll. of Automation Nanjing Univ. Aeronautics and Astronautics Nanjing 210016 P. R. China Lab of Intelligent Systems and Control Engineering Guilin Univ. of Electronic Technology Guilin 541000 P. R. China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2006年第17卷第1期

页      面：163-167页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：ThisprojectwassupportedbytheNationalNaturalScienceFoundationofChina(50265001)andScienceFoundationofGuangxiprovince(0339068) 

主　　题：neural networks hysteresis adaptive control preisach model. 

摘      要：An adaptive control scheme is developed for a class of single-input nonlinear systems preceded by unknown hysteresis, which is a non-differentiable and multi-value mapping nonlinearity. The controller based on the three-layer neural network （NN）, whose weights are derived from Lyapunov stability analysis, guarantees closed-loop semiglobal stability and convergence of the tracking errors to a small residual set. An example is used to confirm the effectiveness of the proposed control scheme.