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Parametric control to a type of descriptor quasi-linear systems based on dynamic compensator and multi-objective optimisation

机译:基于动态补偿器和多目标优化的参数控制到一种描述符代码线性系统的参数控制和多目标优化

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This study investigates the parametric approach for a type of descriptor quasi-linear systems by utilising dynamic compensator and multi-objective optimisation. Based on the solutions of generalised Sylvester matrix equation, the generally parameterised expressions of dynamic compensator and the left and right eigenvector matrices are both established, meanwhile, a group of arbitrary parameters are obtained. With the parametric approach, the closed-loop system can be transformed into a linear time-invariant one with an expected eigenstructure by using a group of canonical matrix pairs. Simultaneously, it also presents a novel technique to design multi-objective optimisation for descriptor quasi-linear systems. Multiple performance indexes such as low sensitivity, disturbance attenuation, robustness degree, and low gains are formulated by arbitrary parameters. Based on the above indexes, robustness criteria and low gain criteria can be expressed by a synthetic objective function which includes each performance index weighted. By utilising the degrees of freedom in arbitrary parameters, a dynamic compensator can be obtained by solving a multi-objective optimisation problem. Finally, two examples are proposed to prove that the parametric approach is effective.
机译:本研究通过利用动态补偿器和多目标优化来研究一种描述符代准线性系统的参数方法。基于广义SYLVESTER矩阵方程的解决方案,动态补偿器和左和右特征向量矩阵的大致参数化表达式,同时获得了一组任意参数。利用参数方法,通过使用一组规范矩阵对,可以将闭环系统转换为具有预期的特征结构的线性时间不变。同时,它还提出了一种设计用于描述符准线性系统的多目标优化的新技术。通过任意参数制定了多种性能指标,例如低灵敏度,干扰衰减,鲁棒度和低收益。基于上述索引,鲁棒性标准和低增益标准可以由合成目标函数表示,其包括每个性能指数加权。通过利用任意参数中的自由度,可以通过解决多目标优化问题来获得动态补偿器。最后,提出了两个示例来证明参数方法是有效的。

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