Multi-objective robust filtering for fuzzy singularly perturbed systems with Markov-switching

被引:0
|
作者
Dai, Mingcheng [1 ]
Liang, Kun [1 ]
Wang, Jing [1 ]
Wang, Zhen [2 ]
Shen, Hao [1 ]
机构
[1] Anhui Univ Technol, Sch Elect & Informat Engn, Maanshan, Peoples R China
[2] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao, Peoples R China
来源
PROCEEDINGS 2018 33RD YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC) | 2018年
基金
中国国家自然科学基金;
关键词
fuzzy singularly perturbed systems; markov jump model; multi-objective robust filter; JUMP SYSTEMS; LINEAR-SYSTEMS; DESIGN; DELAY; STABILIZATION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we expect to design a multi-objective robust filter for fuzzy singularly perturbed systems (SPSs) with Markov switching. By utilizing the Takagi and Sugeno (T-S) fuzzy model and the Markov jump model, both the nonlinearity and the sudden changes in the parameters or structures are considered in the description of SPSs. Based on some acquired conditions, the final filtering error system can be assured stochastically stable with a prescribed dissipative performance index. Finally, the filter gains can be gained by solving these conditions.
引用
收藏
页码:445 / 449
页数:5
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