Design and performance analysis of a direct adaptive controller for nonlinear systems

被引:158
作者
Zhang, T [1 ]
Ge, SS [1 ]
Hang, CC [1 ]
机构
[1] Natl Univ Singapore, Dept Elect Engn, Singapore 119260, Singapore
关键词
nonlinear systems; adaptive control; neural networks; performance;
D O I
10.1016/S0005-1098(99)00098-9
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a direct adaptive controller is developed based on multilayer neural networks (MNNs) for a class of nonlinear systems. The proposed scheme avoids the possible singularity problem of the controller usually met in adaptive control design. The system tracking error is proven to converge to a small neighborhood of zero, while the stability of the closed-loop system is guaranteed. The transient performance of the resulting adaptive system is analytically quantified, and an example is given to show the effectiveness of the scheme. (C) 1999 Elsevier Science Ltd. Ail rights reserved.
引用
收藏
页码:1809 / 1817
页数:9
相关论文
共 30 条
[1]   NONLINEAR ADAPTIVE MODEL-FOLLOWING CONTROL [J].
BALESTRINO, A ;
DEMARIA, G ;
ZINOBER, ASI .
AUTOMATICA, 1984, 20 (05) :559-568
[2]  
CANNON RH, 1967, DYNAMICS PHYSICAL SY
[3]   ADAPTIVELY CONTROLLING NONLINEAR CONTINUOUS-TIME SYSTEMS USING MULTILAYER NEURAL NETWORKS [J].
CHEN, FC ;
LIU, CC .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1994, 39 (06) :1306-1310
[4]   ON THE ROBUSTNESS OF MISMATCHED UNCERTAIN DYNAMIC-SYSTEMS [J].
CHEN, YH .
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 1987, 109 (01) :29-35
[5]   ON THE APPROXIMATE REALIZATION OF CONTINUOUS-MAPPINGS BY NEURAL NETWORKS [J].
FUNAHASHI, K .
NEURAL NETWORKS, 1989, 2 (03) :183-192
[6]  
Ge SS, 1997, P AMER CONTR CONF, P1568, DOI 10.1109/ACC.1997.610835
[7]  
GE SS, 1998, IN PRESS J PROCESS C
[8]  
Ioannou PA., 1996, ROBUST ADAPTIVE CONT, V1
[9]  
ISODORI A, 1989, NONLINEAR CONTROL SY
[10]  
Jankovic M, 1996, INT J ADAPT CONTROL, V10, P1, DOI 10.1002/(SICI)1099-1115(199601)10:1<1::AID-ACS383>3.0.CO