@inproceedings{acec4a8347954eae9d6d872fae5ec8bd,
title = "Optimal H ∞ filtering for discrete-time-delayed chaotic systems via a unified model",
abstract = "This paper presents a unified model, consisting of a linear dynamic system and a bounded static nonlinear operator. Most discrete-time chaotic systems, such as chaotic neural networks, Chua's circuits, and H{\'e}non map etc, can be transformed into this unified model. Based on the H ∞ performance analysis of the estimation error system between the unified model and its improved Luenberger-like filter using the linear matrix inequality (LMI) approach, the optimal H ∞ filter are designed to estimate the states of discrete-time chaotic systems with external disturbance. The H ∞ filter not only guarantees the asymptotic stability of the estimation error system, but also reduces the influence of noise on the estimation error. Two numerical examples are exploited to illustrate the effectiveness of the proposed filter design schemes.",
keywords = "H filtering, discrete-time chaotic systems, estimation error, neural networks, time delay",
author = "Meiqin Liu and Senlin Zhang and Xiaofang Tang and Zhen Fan and Shiyou Zheng",
year = "2012",
language = "英语",
isbn = "9780982443859",
series = "15th International Conference on Information Fusion, FUSION 2012",
pages = "2553--2560",
booktitle = "15th International Conference on Information Fusion, FUSION 2012",
note = "15th International Conference on Information Fusion, FUSION 2012 ; Conference date: 07-09-2012 Through 12-09-2012",
}