Filtering for Discrete-Time Takagi-Sugeno Fuzzy Nonhomogeneous Markov Jump Systems With Quantization Effects

被引:59
作者
Hua, Mingang [1 ]
Qian, Yangyang [1 ]
Deng, Feiqi [2 ]
Fei, Juntao [1 ]
Cheng, Pei [3 ]
Chen, Hua [4 ]
机构
[1] Hohai Univ, Coll Internet Things Engn, Changzhou 213022, Peoples R China
[2] South China Univ Technol, Coll Automat Sci & Engn, Guangzhou 510640, Peoples R China
[3] Anhui Univ, Sch Math Sci, Hefei 230601, Peoples R China
[4] Hohai Univ, Coll Sci, Nanjing 210098, Peoples R China
基金
中国国家自然科学基金;
关键词
Discrete time; H-infinity and l(2)-l(infinity) filtering; Markov jump systems (M[!text type='JS']JS[!/text]s); nonhomogeneous; quantization; Takagi-Sugeno (T-S) fuzzy; H-INFINITY; NONLINEAR-SYSTEMS; LINEAR-SYSTEMS; DESIGN; MODEL; L(2); STABILIZATION; STABILITY; NETWORKS;
D O I
10.1109/TCYB.2020.2991159
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article deals with the problem of H-infinity and l(2)-l(infinity) filtering for discrete-time Takagi-Sugeno fuzzy non-homogeneous Markov jump systems with quantization effects, respectively. The time-varying transition probabilities are in a polytope set. To reduce conservativeness, a mode-dependent logarithmic quantizer is considered in this article. Based on the fuzzy-rule-dependent Lyapunov function, sufficient conditions are given such that the filtering error system is stochastically stable and has a prescribed H-infinity or l(2)-l(infinity) performance index, respectively. Finally, a practical example is provided to illustrate the effectiveness of the proposed fuzzy filter design methods.
引用
收藏
页码:982 / 995
页数:14
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