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_(∞)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_(∞)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.
The H_(∞)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_(∞)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.
作者
李秀英
尹帅
孙书利
LI Xiu-Ying;YIN Shuai;SUN Shu-Li(Department of Automation,School of Electronic Engineering,Heilongjiang University,Harbin 150080;School of Electrical and Electronic Engineering,Shanghai Institute of Technology,Shanghai 201418)
出处
《自动化学报》
EI
CAS
CSCD
北大核心
2021年第5期1149-1158,共10页
Acta Automatica Sinica
基金
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)资助。
