Title
Distributed set-membership filtering for nonlinear systems subject to round-robin protocol and stochastic communication protocol over sensor networks
Abstract
In this paper, the distributed set-membership filtering problem is investigated for general nonlinear systems subject to Round-Robin and stochastic communication protocols over sensor networks. The considered disturbances are assumed to be unknown but bounded within certain known ellipsoidal regions. Two types of frequently used protocols, i.e., the Round-Robin and stochastic communication protocols are adopted separately to regulate the data transmission among sensor nodes. According to the Round-Robin protocol, each node is able to receive information from only one of its neighboring nodes in a circular order at each time step, whereas the stochastic communication protocol allows each node randomly receive the information sent from one of the neighboring nodes. By resorting to the recursive linear matrix inequalities approach, sufficient conditions are established for the existence of the desired distributed filter, guaranteeing that the state estimates are constrained within certain pre-determined ellipsoidal regions at each time step. Then two optimization problems aiming to minimize the ellipsoids (in the sense of matrix trace) are put forward to seek the locally optimal filtering performance. Finally, simulation examples are given to illustrate the effectiveness of the proposed algorithms.
Year
DOI
Venue
2020
10.1016/j.neucom.2019.11.056
Neurocomputing
Keywords
Field
DocType
Distributed set-membership filtering,Sensor networks,Nonlinear system,Round-Robin protocol,Stochastic communication protocol,Unknown but bounded noise
Data transmission,Algorithm,Filter (signal processing),Filtering problem,Artificial intelligence,Wireless sensor network,Optimization problem,Recursion,Machine learning,Mathematics,Communications protocol,Bounded function
Journal
Volume
ISSN
Citations 
385
0925-2312
2
PageRank 
References 
Authors
0.35
0
3
Name
Order
Citations
PageRank
Shuai Chen173.56
Lifeng Ma231121.25
Yuqi Ma320.35