Robust Adaptive Control for a Class of Uncertain Switched Nonlinear Systems with Application to Near Space Vehicle
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.
Common Lyapunov Function Switched Nonlinear Systems Backstepping Adaptive Neural Networks Near Space Vehicle
Zhang Qiang Wu Qingxian Jiang Changsheng Wang Yufei
School of Electrical Engineering, University of Jinan, Jinan 250022,P. R. China College of Automatio College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 21001
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
3113-3118
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）