论文信息 - Adaptive backstepping control for a class of uncertain single input single output nonlinear systems

Adaptive backstepping control for a class of uncertain single input single output nonlinear systems

This paper proposes an adaptive backstepping control method for a class of uncertain single input single output nonlinear systems. The proposed method is based on the robust stability property of the Lyapunov method. This method can ensures the uniform ultimate boundedness of the closed-loop system signals and the tracking error converges to zero for any initial conditions. Simulation results also show the effectiveness and advantage of the method.

Mohamed Benrejeb | Farouk Zouari | Kamel Ben Saad

[1] Shaocheng Tong,et al. Adaptive fuzzy backstepping output feedback control for strict feedback nonlinear systems with unknown sign of high-frequency gain , 2012, Neurocomputing.

[2] Wei Wang,et al. Adaptive backstepping control of uncertain systems with unknown input time-delay , 2009, Autom..

[3] Mohammad Javad Yazdanpanah,et al. Adaptive control of uncertain nonlinear systems using mixed backstepping and Lyapunov redesign techniques , 2012 .

[4] Gang Feng,et al. Robust controller design of a class of nonlinear time delay systems via backstepping method , 2008, Autom..

[5] Liangdong Liu,et al. Robust Adaptive Coordinated Attitude Control Problem with Unknown Communication Delays and Uncertainties , 2012 .

[6] Jose Alvarez-Ramirez,et al. Cascade control for a class of uncertain nonlinear systems: a backstepping approach , 2000 .

[7] Hongtao Lu,et al. Projective lag synchronization of the general complex dynamical networks with distinct nodes , 2012 .

[8] Qing Zhu,et al. New results on adaptive neural control of a class of nonlinear systems with uncertain input delay , 2012, Neurocomputing.