Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Sensor networks with random link failures: distributed filtering for T-S fuzzy systems|
|Citation:||IEEE Transactions on Industrial Informatics, 2013; 9(3):1739-1750|
|Publisher:||Institute of Electrical and Electronics Engineers|
|Xiaojie Su, Ligang Wu and Peng Shi|
|Abstract:||The paper is concerned with the problem of distributed fuzzy filter design for a class of sensor networks described by discrete-time T-S fuzzy systems with time-varying delays and multiple probabilistic packet losses. In sensor network, each individual sensor can receive not only its own measurement but also its neighboring sensors' measurements according to the interconnection topology to estimate the system states. Our attention is focused on the design of distributed fuzzy filters to guarantee the filtering error dynamic system to be mean-square asymptotically stable with an average mathscr H performance. Sufficient conditions for the obtained filtering error dynamic system are proposed by applying an comparison model and the scaled small gain theorem. Based on the measurements and estimates of the system states and its neighbors for each sensor, the solution of the parameters of the distributed fuzzy filters is characterized in terms of the feasibility of a convex optimization problem. Finally, an illustrative example is provided to illustrate the effectiveness of the proposed approaches in sensor networks. © 2005-2012 IEEE.|
|Keywords:||Distributed fuzzy filtering|
random link failures
T–S fuzzy systems
|Rights:||© 2012 IEEE|
|Appears in Collections:||Aurora harvest|
Electrical and Electronic Engineering publications
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.