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

机译:一种具有未知虚拟控制系数的一类不确定非线性系统的自适应鲁棒稳定性

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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:在存在不确定的系统参数,外部干扰和未知的时变的虚拟控制系数存在下,考虑了一类非线性系统的鲁棒稳定问题。假设外部干扰的上限,以及未知的时变虚度控制系数的上部和下限是未知的。采用Σ修改的一些改进的适应法律来估计包含这种不确定性的所有未知范围的值。然后,通过利用这些未知界限的更新值,为这种不确定的动态系统合成了基于基于的基于反向接近的连续自适应稳健状态反馈控制器。此外,通过采用改进的Lyapunov-krasovskii功能方法,还示出了所提出的自适应稳健的背击控制器可以保证这种不确定动力系统的均匀渐近稳定性。最后,给出了数值例子来证明结果的有效性。

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