Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/10672
Title: Analysis, filtering, and control for Takagi-Sugeno fuzzy models in networked systems
Authors: Zhang, S
Wang, Z
Hu, J
Liang, J
Alsaadi, FE
Keywords: Fuzzy control;Fuzzy filtering;Takagi-Sugeno (T-S) fuzzy models;Networked systems;Network-induced phenomena
Issue Date: 2015
Publisher: Hindawi Publishing Corporation
Citation: Abstract and Applied Analysis, 2015(856390), (2015)
Abstract: The fuzzy logic theory has been proven to be effective in dealing with various nonlinear systems and has a great success in industry applications. Among different kinds of models for fuzzy systems, the so-called Takagi-Sugeno (T-S) fuzzy model has been quite popular due to its convenient and simple dynamic structure as well as its capability of approximating any smooth nonlinear function to any specified accuracy within any compact set. In terms of such a model, the performance analysis and the design of controllers and filters play important roles in the research of fuzzy systems. In this paper, we aim to survey some recent advances on the T-S fuzzy control and filtering problems with various network-induced phenomena. The network-induced phenomena under consideration mainly include communication delays, packet dropouts, signal quantization, and randomly occurring uncertainties (ROUs). With such network-induced phenomena, the developments on T-S fuzzy control and filtering issues are reviewed in detail. In addition, some latest results on this topic are highlighted. In the end, conclusions are drawn and some possible future research directions are pointed out.
Description: Copyright © 2015 Sunjie Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
URI: http://www.hindawi.com/journals/aaa/2015/856390/
http://bura.brunel.ac.uk/handle/2438/10672
DOI: http://dx.doi.org/10.1155/2015/856390
ISSN: 1085-3375
1687-0409
Appears in Collections:Dept of Computer Science Research Papers

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