DOI number:10.1109/TFUZZ.2017.2702119
Affiliation of Author(s):广东工业大学自动化学院
Journal:IEEE Transactions on Fuzzy Systems
Key Words:l2 − l∞ filter, multidensity quantizer, multiplicative sensor noises, networked control systems (NCSs), TakagiSugeno (T–S) fuzzy systems
Abstract:This paper considers the problem of I 2 - I ∞ filtering for discrete-time Takagi-Sugeno (T-S) fuzzy systems with multiplicative sensor noises over the channels with limited capacity. A more general multidensity logarithmic quantizer is designed to increase the utilization of the communication resources, and a sojourn-time-dependent Markov chain is used to model the variation of the quantizer density. Then, the fuzzy basis-, quantizer density-, and sojourn-time-dependent filter is designed for T-S fuzzy systems on the basis of the quantized measurements to improve the performance of the filter. Sufficient conditions are proposed to guarantee that the filtering error system is exponentially mean-square stable and achieves a prescribed I 2 - I ∞ performance. Finally, three examples are given to illustrate the developed new design techniques.
Indexed by:Journal paper
Correspondence Author:xuyong
Discipline:Engineering
Document Type:J
Volume:26
Issue:2
Page Number:1011 - 1022
Translation or Not:no
Date of Publication:2017-05-08
Included Journals:SCI、EI
Links to published journals:https://ieeexplore.ieee.org/document/7921605