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Observer-Based State Estimation of Discrete-Time Fuzzy Systems Based on a Joint Switching Mechanism for Adjacent Instants

机译:基于相邻时刻联合切换机制的基于观察者的分立时间模糊系统的状态估计

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摘要

The problem of observer-based state estimation of discrete-time fuzzy systems is investigated by constructing a joint switching mechanism for adjacent instants. Thanks to the usage of both the proposed spatial partitioning method and a set of new free matrix-valued variables, abundant information about size differences of all the normalized fuzzy weighting functions for adjacent instants can be interactively integrated into the fuzzy observer design for the first time. Compared with the recent result from three important aspects (conservatism level, online computational burden, and offline computational burden), three positive results can be obtained: 1) it provides a chance for reducing the conservatism by a large margin; 2) the required online computational burden remains unchanged as referred ones; and 3) as a tradeoff, the required offline computational burden increases to some extent but is still affordable from the view of complexity analysis. Finally, two numerical simulations have been given to validate the effectiveness of our developed theoretical results.
机译:通过构建相邻瞬间的联合切换机构研究了基于观察者的状态估计的基于观察者的状态估计。由于使用所提出的空间分区方法和一组新的自由矩阵值变量,有关相邻时刻的所有归一化模糊加权函数的大小差异的丰富信息可以首次交互地集成到模糊的观察者设计中。与最近的三个重要方面(保守派水平,在线计算负担和离线计算负担)相比,可以获得三个积极结果:1)它提供了通过大边缘减少保守主义的机会; 2)所需的在线计算负担仍然保持不变; 3)作为权衡,所需的离线计算负担在某种程度上增加,但从复杂性分析的角度来看仍然可以负担得起。最后,已经给出了两种数值模拟来验证我们开发的理论结果的有效性。

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