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
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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. |
URL标识 | 查看原文 |
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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