Robust Adaptive Control for a Class of Uncertain Switched Nonlinear Systems with Application to Near Space Vehicle

被引:0
|
作者
Zhang Qiang [1 ,2 ]
Wu Qingxian [2 ]
Jiang Changsheng [2 ]
Wang Yufei [2 ]
机构
[1] Univ Jinan, Sch Elect Engn, Jinan 250022, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Jiangsu, Peoples R China
关键词
Common Lyapunov Function; Switched Nonlinear Systems; Backstepping; Adaptive Neural Networks; Near Space Vehicle; MOTION/FORCE CONTROL; DESIGN; STABILIZATION; STABILITY;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper is concerned with a robust adaptive tracking control for a class of uncertain switched nonlinear systems under arbitrary switching signals. Firstly, neural networks are employed to compensate for unknown uncertainties in switched nonlinear systems. Then, adaptive backstepping method is used to design the stabilizing and continuous controller. Using the Common Lyapunov Function approach, we prove that the tracking error can converge to a small neighborhood of the desired trajectory in the finite-time. Finally, by the use of the design methods to simulate the flexible-wing near space vehicle, the simulation results are presented to show the effectiveness of the proposed scheme.
引用
收藏
页码:3113 / 3118
页数:6
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