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Robust adaptive neural network control for a class of uncertain nonlinear systems with actuator amplitude and rate saturations
Yuan, Ruyi; Tan, Xiangmin; Fan, Guoliang; Yi, Jianqiang
Source PublicationNEUROCOMPUTING
2014-02-11
Volume125Pages:72-80
SubtypeArticle
AbstractAn adaptive controller which is designed with a priori consideration of actuator saturation effects and guarantees H-infinity tracking performance for a class of multiple-input-multiple-output (MIMO) uncertain nonlinear systems with extern disturbances and actuator saturations is presented in this paper. Adaptive radial basis function (RBF) neural networks are used in this controller to approximate the unknown nonlinearities. An auxiliary system is constructed to compensate the effects of actuator saturations. Furthermore, in order to deal with approximation errors for unknown nonlinearities and extern disturbances, a supervisory control is designed, which guarantees that the closed loop system achieves a prescribed disturbance attenuation level so that H-infinity tracking performance is achieved. Steady and transient tracking performance are analyzed and the tracking error is adjustable by explicit choice of design parameters. Computer simulations are presented to illustrate the efficiency of the proposed controller. (C) 2013 Elsevier B.V. All rights reserved.
KeywordActuator Saturation Rbf Neural Network Adaptive Control Robust Control
WOS HeadingsScience & Technology ; Technology
WOS KeywordBANDWIDTH CONSTRAINTS ; FLIGHT CONTROL ; MAGNITUDE ; APPROXIMATION ; DESIGN
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000328710200012
Citation statistics
Cited Times:26[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/4165
Collection综合信息系统研究中心
AffiliationChinese Acad Sci, Inst Automat, Beijing, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Yuan, Ruyi,Tan, Xiangmin,Fan, Guoliang,et al. Robust adaptive neural network control for a class of uncertain nonlinear systems with actuator amplitude and rate saturations[J]. NEUROCOMPUTING,2014,125:72-80.
APA Yuan, Ruyi,Tan, Xiangmin,Fan, Guoliang,&Yi, Jianqiang.(2014).Robust adaptive neural network control for a class of uncertain nonlinear systems with actuator amplitude and rate saturations.NEUROCOMPUTING,125,72-80.
MLA Yuan, Ruyi,et al."Robust adaptive neural network control for a class of uncertain nonlinear systems with actuator amplitude and rate saturations".NEUROCOMPUTING 125(2014):72-80.
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