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Parameter-dependent Lyapunov functions for robust stability analysis of time-varying systems in polytopic domains

机译:基于参数的Lyapunov函数可在多主题域中进行时变系统的鲁棒稳定性分析

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The robust stability of linear continuous-time uncertain systems in polytopic domains is investigated in this paper. The uncertain parameters are assumed as time-varying with bounded rates of variation. The robust stability conditions are obtained from the definition of a Lyapunov function with a particular structure, depending on integer powers 驴 of the dynamic uncertain matrix of the system. As a consequence, parametrized linear matrix inequalities conditions are obtained in terms of 驴. As 驴 grows, the robust stability conditions can take into account bounds on the successive time-derivatives of the uncertain parameters, reducing the conservativeness of the evaluations. Numerical examples illustrate the effectiveness of the proposed methodology.
机译:研究了线性连续时间不确定系统在多域域中的鲁棒稳定性。不确定参数被假定为随时变而具有有限的变化率。鲁棒稳定性条件是从具有特定结构的Lyapunov函数的定义中获得的,具体取决于系统动态不确定矩阵的整数幂。结果,就参数而言获得了参数化的线性矩阵不等式条件。随着KEY的增长,鲁棒的稳定性条件可以考虑不确定参数的连续时间导数的界限,从而降低了评估的保守性。数值例子说明了所提出方法的有效性。

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