| 传感器饱和的非线性网络化系统模糊begin{document}$H_{infty}$end{document}滤波 |
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| 引用本文： | 李秀英,尹帅,孙书利. 传感器饱和的非线性网络化系统模糊begin{document}$H_{infty}$end{document}滤波[J]. 自动化学报, 2021, 47(5): 1149-1158. DOI: 10.16383/j.aas.c180778 |
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| 作者姓名： | 李秀英 尹帅 孙书利 |
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| 作者单位： | 1.黑龙江大学电子工程学院自动化系 哈尔滨 150080 |
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| 基金项目： | 国家自然科学基金61503126黑龙江省自然科学基金F2018024黑龙江省高等学校基本科研业务费黑龙江大学专项基金RCYJTD201806 |
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| 摘 要： | 研究了基于T-S模糊模型描述的非线性网络化系统$H_{infty}$滤波器设计问题.由于网络诱导时滞的存在, 使得一个采样周期内, 到达接收端的数据可能是一个或多个, 也可能没有任何数据.提出传感器冗余策略解决由于饱和而引起的传感器件失效的问题.为降低结果的保守性, 选择模糊规则依赖的Lyapunov函数对滤波误差系统进行稳定性分析, 给出使滤波误差系统均方渐近稳定且具有指定$H_{infty}$性能的充分条件, 滤波器参数通过求解一组线性矩阵不等式(Linear matrix inequalities, LMIs)得到.仿真研究结果表明算法的有效性.
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| 关 键 词： | 网络系统 T-S模糊模型 传感器饱和 H∞滤波 丢包 时延 |
| 收稿时间： | 2018-11-21 |
Fuzzy $H_{infty}$ Filtering for Nonlinear Networked Systems Subject to Sensor Saturations |
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| Affiliation: | 1.Department of Automation, School of Electronic Engineering, Heilongjiang University, Harbin 1500802.School of Electrical and Electronic Engineering, Shanghai Institute of Technology, Shanghai 201418 |
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| Abstract: | The $H_{infty}$ filter design problem is investigated for T-S fuzzy-model-based nonlinear networked systems. The existing of transmission delay makes that there may be one or multiple data, even no data arriving at the receiver side within one sampling period. A redundant strategy is proposed to solve the problem of sensor failure caused by sensor saturation. In order to reduce the conservatism, the fuzzy-dependent-basis Lyapunov function is chosen to analyze the stability of filtering error systems and a sufficient condition is given to make the filtering error system mean-square asymptotically stable with a specified $H_{infty}$ performance. The parameters of the filter are obtained by solving a set of linear matrix inequalities (LMIs). The simulation results illustrate the effectiveness of the algorithm. |
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