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Delay-dependent generalized H_2 filtering for uncertain systems with multiple time-varying state delays

机译:具有多个时变状态时滞的不确定系统的时滞相关广义H_2滤波

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摘要

A delay- and parameter-dependent approach to generalized H_2 filtering is proposed for linear continuous-time uncertain systems with multiple time-varying state delays. The uncertain parameters are assumed to reside in a polytope, and the aim is to design a parameter-dependent or a parameter-independent filter such that the filtering error systems are assured to be asymptotically stable and a prescribed generalized H_2 performance is guaranteed. The proposed filter design method possesses many advantages, such as the reduced conservatism of the obtained delay-dependent criteria due to adopting the newly established integral-inequality; the proposed new linearization technique and the parameter-dependent design method for the parameter-dependent filters. Both the conditions for the existence of the parameter-dependent and parameter-independent filters are presented in terms of linear matrix inequalities, and convex optimization problems are formulated to design the desired filters. A numerical example is given to illustrate the validity of the proposed design.
机译:针对具有多个时变状态时滞的线性连续时间不确定系统,提出了一种与时滞和参数相关的广义H_2滤波方法。假定不确定参数驻留在多位体中,并且目的是设计一个参数相关或参数无关的滤波器,以确保滤波误差系统渐近稳定,并确保规定的广义H_2性能。所提出的滤波器设计方法具有许多优点,例如由于采用了新建立的积分不等式而降低了所获得的时延相关准则的保守性。提出了新的线性化技术和参数相关滤波器的参数相关设计方法。根据线性矩阵不等式,给出了存在参数依赖和参数独立滤波器的条件,并提出了凸优化问题来设计所需的滤波器。数值例子说明了所提出设计的有效性。

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