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NN-adaptive output feedback tracking control for a class of discrete-time non-affine systems with a dynamic compensator

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成果类型:
期刊论文
作者:
Zhang, Lijun;Zhao, Jiemei*;Qi, Xue;Jia, Heming
通讯作者:
Zhao, Jiemei
作者机构:
[Zhang, Lijun] Harbin Engn Univ, Coll Automat, Harbin 150001, Peoples R China.
[Zhang, Lijun] Northwestern Polytech Univ, Sch Marine, Xian 710072, Peoples R China.
[Zhao, Jiemei] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan 430021, Peoples R China.
[Qi, Xue] Anhui Sci & Technol Univ, Sch Sci, Bengbu 233100, Peoples R China.
[Jia, Heming] Northeast Forestry Univ, Coll Mech & Elect Engn, Harbin 150040, Peoples R China.
通讯机构:
[Zhao, Jiemei] W
Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan 430021, Peoples R China.
语种:
英文
关键词:
Adaptive neural networks;Dynamic compensator;Fixed point theorems;Internal dynamics;Nonaffine systems;Output feedback;Approximation algorithms;Feedback control;Navigation;Neural networks;Discrete time control systems
期刊:
International Journal of Control
ISSN:
0020-7179
年:
2013
卷:
86
期:
6
页码:
1008-1017
基金类别:
This work is supported by the National Natural Science Foundation of China (No. 61174047, 51209051) Basic Research Foundation of Northwestern Polytechnical University (No. JC201230).
机构署名:
本校为通讯机构
院系归属:
数学与计算机学院
摘要:
The problem of tracking control for a class of uncertain non-affine discrete-time nonlinear systems with internal dynamics is addressed. The fixed point theorem is first employed to ensure the control problem in question is solvable and well-defined. Based on it, an adaptive output feedback control scheme based on neural network (NN) is presented. The proposed control algorithm consists of two parts: a dynamic compensator is introduced to stabilise the linear portion of the tracking error system; a single-hidden-layer neural network (SHL NN) ap...

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