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基于分段 Lyapunov 函数的连续时间 T-S 模糊仿射动态系统的非同步鲁棒滤波设计。

Nonsynchronized robust filtering design for continuous-time T–S fuzzy affine dynamic systems based on piecewise Lyapunov functions.

出版信息

IEEE Trans Cybern. 2013 Dec;43(6):1755-66. doi: 10.1109/TSMCB.2012.2229389.

Abstract

This paper investigates the problem of robust H(∞) 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 H(∞) 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.

摘要

本文研究了一类连续时间非线性系统的鲁棒 H(∞)状态估计问题,通过 Takagi-Sugeno(T-S)模糊仿射动态模型。关注的是分析和设计一个可接受的全阶滤波器,使得所得到的滤波误差系统渐近稳定,并保证 H(∞)干扰衰减水平。假设 plant 前提变量(通常是状态变量或它们的函数)不可测,因此基于状态空间分区的滤波器实现可能与 plant 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,提出了一些新的结果,用于底层连续时间 T-S 模糊仿射系统的滤波设计。通过示例验证了所提出设计方法的有效性和应用。

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