Network-Based Robust H_∞ Filtering for the Uncertain Systems with Sensor Failures and Noise Disturbance

Mingang Hua; Pei Cheng; Juntao Fei; Jianyong Zhang; Junfeng Chen

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Network-Based Robust H_∞ Filtering for the Uncertain Systems with Sensor Failures and Noise Disturbance

机译：具有传感器故障和噪声干扰的不确定系统的基于网络的鲁棒H_∞滤波

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The network-based robust H_∞ filtering for the uncertain system with sensor failures and the noise is considered in this paper. The uncertain system under consideration is also subject to parameter uncertainties and delay varying in an interval. Sufficient conditions are derived for a linear filter such that the filtering error systems are robust globally asymptotically stable while the disturbance rejection attenuation is constrained to a given level by means of the H_∞ performance index. These conditions are characterized in terms of the feasibility of a set of linear matrix inequalities (LMIs), and then the explicit expression is then given for the desired filter parameters. Two numerical examples are exploited to show the usefulness and effectiveness of the proposed filter design method.

机译：本文考虑了带有传感器故障和噪声的不确定系统的基于网络的鲁棒H_∞滤波。所考虑的不确定系统还会受到参数不确定性和间隔内延迟的影响。推导了线性滤波器的充分条件，从而使得滤波误差系统在全局渐近上是鲁棒的，同时借助H_∞性能指标将干扰抑制衰减限制在给定水平。根据一组线性矩阵不等式（LMI）的可行性来表征这些条件，然后针对所需的滤波器参数给出明确的表达式。利用两个数值示例来说明所提出的滤波器设计方法的有用性和有效性。

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《Mathematical Problems in Engineering》 |2012年第12期|945271.1-945271.19|共19页
作者
Mingang Hua; Pei Cheng; Juntao Fei; Jianyong Zhang; Junfeng Chen;
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College of Computer and Information, Hohai University, Changzhou 213022, China,Changzhou Key Laboratory of Sensor Networks and Environmental Sensing, Changzhou 213022, China,Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology, Changzhou 213022, China;

School of Mathematical Sciences, Anhui University, Hefei 230601, China;

College of Computer and Information, Hohai University, Changzhou 213022, China;

Department of Mathematics and Physics, Hohai University, Changzhou 213022, China;

College of Computer and Information, Hohai University, Changzhou 213022, China;

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Network-Based Robust H_∞ Filtering for the Uncertain Systems with Sensor Failures and Noise Disturbance

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