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Adaptive robust stabilization for a class of uncertain nonlinear systems with unknown virtual control coefficients

机译:一类具有未知虚拟控制系数的不确定非线性系统的自适应鲁棒镇定

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The problem of robust stabilization is considered for a class of nonlinear systems in the presence of uncertain system parameters, external disturbances, and unknown time-varying virtual control coefficients. It is supposed that the upper bounds of external disturbances, and the upper and lower bounds of unknown time-varying virtual control coefficients are unknown. Some improved adaptation laws with σ-modification are employed to estimate the values which contain all the unknown bounds of such uncertainties. Then, by making use of the updated values of these unknown bounds, a class of backstepping approach based continuous adaptive robust state feedback controllers is synthesized for such uncertain dynamical systems. Furthermore, by employing the improved Lyapunov-Krasovskii functional method, it is also shown that the proposed adaptive robust backstepping controller can guarantee the uniform asymptotic stability of such uncertain dynamical systems. Finally, a numerical example is given to demonstrate the validity of the results.
机译:对于存在不确定系统参数,外部干扰和未知时变虚拟控制系数的一类非线性系统,考虑了鲁棒镇定问题。假定外部干扰的上限以及未知的时变虚拟控制系数的上限和下限是未知的。使用一些经过改进的带有σ修改的自适应定律来估计包含此类不确定性的所有未知范围的值。然后,通过利用这些未知范围的更新值,针对这种不确定的动力学系统,合成了一类基于反推方法的连续自适应鲁棒状态反馈控制器。此外,通过采用改进的Lyapunov-Krasovskii泛函方法,还表明所提出的自适应鲁棒反推控制器能够保证这种不确定动力学系统的一致渐近稳定性。最后,通过数值例子说明了结果的正确性。

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