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Nonsynchronized Robust Filtering Design for Continuous-Time T–S Fuzzy Affine Dynamic Systems Based on Piecewise Lyapunov Functions

机译:基于分段Lyapunov函数的连续时间TS模糊仿射动态系统的非同步鲁棒滤波设计

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摘要

This paper investigates the problem of robust ${cal H}_{infty}$ state estimation for a class of continuous-time nonlinear systems via Takagi–Sugeno (T–S) fuzzy affine dynamic models. Attention is focused on the analysis and design of an admissible full-order filter such that the resulting filtering error system is asymptotically stable with a guaranteed ${cal H}_{infty}$ disturbance attenuation level. It is assumed that the plant premise variables, which are often the state variables or their functions, are not measurable so that the filter implementation with state-space partition may not be synchronous with the state trajectories of the plant. Based on piecewise quadratic Lyapunov functions combined with S-procedure and some matrix inequality linearization techniques, some new results are presented for the filtering design of the underlying continuous-time T-S fuzzy affine systems. Illustrative examples are given to validate the effectiveness and application of the proposed design approaches.
机译:本文研究了通过Takagi–Sugeno(TS)模糊仿射动力学模型对一类连续时间非线性系统进行稳健的$ {cal H} _ {infty} $状态估计的问题。注意集中在可允许的全阶滤波器的分析和设计上,以使得所得到的滤波误差系统渐近稳定,并保证了$ {cal H} _ {infty} $干扰衰减水平。假定工厂前提变量(通常是状态变量或其功能)是不可测量的,因此具有状态空间分区的过滤器实现可能与工厂的状态轨迹不同步。基于分段二次Lyapunov函数,结合S过程和一些矩阵不等式线性化技术,为底层连续时间T-S模糊仿射系统的滤波设计提供了一些新结果。给出了说明性示例,以验证所提出的设计方法的有效性和应用。

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