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Time-weighted MR for switched LPV systems via balanced realisation

机译:通过平衡实现的开关LPV系统的时间加权MR

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摘要

A new model reduction (MR) method is developed for continuous-time switched linear parameter-varying (LPV) systems based on time-weighted gramians. Using time-weighted energy functionals and parameter-independent multiple Lyapunov functions, the time-weighted controllability and observability gramians are obtained. With a balanced transformation matrix optimally derived, the authors show that a balanced realisation can be achieved for the original switched LPV systems. A series of low-order models for different weighting factors are yielded by state truncation or singular perturbation techniques. The reduced-order models can preserve the stability. The feasibility and effectiveness of the proposed MR method are illustrated by two examples including a three spring-mass system.
机译:针对基于时间加权文法的连续时间切换线性参数变化(LPV)系统,开发了一种新的模型缩减(MR)方法。使用时间加权的能量泛函和参数无关的多个Lyapunov函数,可以获得时间加权的可控性和可观测性语法。通过最佳推导的平衡变换矩阵,作者表明,可以对原始的开关LPV系统实现平衡的实现。通过状态截断或奇异摄动技术得出了一系列针对不同加权因子的低阶模型。降阶模型可以保留稳定性。包括三个弹簧质量系统的两个例子说明了所提出的MR方法的可行性和有效性。

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