中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Novel SHLNN Based Robust Control and Tracking Method for Hypersonic Vehicle under Parameter Uncertainty

文献类型:期刊论文

作者Chuanfeng Li; Hao Wu; Zhile Yang; Yongji Wang; Zeyu Sun
刊名Complexity
出版日期2017
文献子类期刊论文
英文摘要Hypersonic vehicle is a typical parameter uncertain system with significant characteristics of strong coupling, nonlinearity, and external disturbance. In this paper, a combined system modeling approach is proposed to approximate the actual vehicle system. The state feedback control strategy is adopted based on the robust guaranteed cost control (RGCC) theory, where the Lyapunov function is applied to get control law for nonlinear system and the problem is transformed into a feasible solution by linear matrix inequalities (LMI) method. In addition, a nonfragile guaranteed cost controller solved by LMI optimization approach is employed to the linear error system, where a single hidden layer neural network (SHLNN) is employed as an additive gain compensator to reduce excessive performance caused by perturbations and uncertainties. Simulation results show the stability and well tracking performance for the proposed strategy in controlling the vehicle system.
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语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/12491]  
专题深圳先进技术研究院_数字所
作者单位Complexity
推荐引用方式
GB/T 7714
Chuanfeng Li,Hao Wu,Zhile Yang,et al. A Novel SHLNN Based Robust Control and Tracking Method for Hypersonic Vehicle under Parameter Uncertainty[J]. Complexity,2017.
APA Chuanfeng Li,Hao Wu,Zhile Yang,Yongji Wang,&Zeyu Sun.(2017).A Novel SHLNN Based Robust Control and Tracking Method for Hypersonic Vehicle under Parameter Uncertainty.Complexity.
MLA Chuanfeng Li,et al."A Novel SHLNN Based Robust Control and Tracking Method for Hypersonic Vehicle under Parameter Uncertainty".Complexity (2017).

入库方式: OAI收割

来源:深圳先进技术研究院

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