Paper Info
Title
Performance analysis and distributed filter design for networked dynamic systems over finite-frequency ranges.
Abstract
This paper is concerned with the finite-frequency bounded realness analysis and finite-frequency H∞ distributed filter design problem for the discrete-time networked system which consists of heterogeneous subsystems interconnected over an arbitrary network. The H∞ performance analysis of networked systems is generalized from the entire-frequency region to some finite-frequency regions. A necessary and sufficient condition in the centralized manner is established to check the finite-frequency bounded realness property of networked systems. Moreover, in order to design a distributed filter and reduce the computational effort, a sufficient condition in terms of individual subsystems is developed. Based on the new condition derived, a sufficient condition is given for the existence of the distributed filter and an LMI method is then presented for designing the distributed filter. A practical example is included to illustrate the proposed approach in this paper and it is shown that the developed finite-frequency bounded realness condition is less conservative than the existing entire-frequency one.
Year
DOI
Venue
2019
10.1016/j.neucom.2019.01.014
Neurocomputing
Keywords
Field
DocType
Networked system,Finite frequency,Bounded realness,H∞ distributed filter
Control theory,Artificial intelligence,Mathematics,Dynamical system,Machine learning,Bounded function,Filter design
Journal
Volume
ISSN
Citations 
334
0925-2312
0
PageRank 
References 
Authors
0.34
12
3
Name
Order
Citations
PageRank
Huiling Xu110.68
Xuefeng Chen200.34
Min Feng341.96