Paper Info
Title
Event-Triggered Fuzzy Filtering for Nonlinear Dynamic Systems via Reduced-Order Appraoch
Abstract
This paper is concerned with the problem of generalized <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mathcal {H}_{2}$</tex-math></inline-formula> reduced-order filter design for continuous Takagi–Sugeno fuzzy systems using an event-triggered scheme. For a continuous Takagi–Sugeno fuzzy dynamic system, a reduced-order filter is designed to transform the original model into a linear lower order one. This filter can also approximate the original system with <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mathcal {H}_{2}$</tex-math></inline-formula> performance, with a new type of event-triggered scheme used to decrease the communication loads and computation resources within the network. By transforming the filtering problem to a convex optimization one, conditions are presented to design the fuzzy reduced-order filter. Finally, two illustrative examples are used to verify the feasibility and applicability of the proposed design scheme.
Year
DOI
Venue
2019
10.1109/tfuzz.2018.2874015
IEEE Transactions on Fuzzy Systems
Keywords
Field
DocType
Fuzzy systems,Mathematical model,Kalman filters,Fault detection,Electronic mail,Delays
Fault detection and isolation,Control theory,Fuzzy logic,Filtering problem,Kalman filter,Fuzzy control system,Convex optimization,Mathematics,Filter design,Computation
Journal
Volume
Issue
ISSN
27
6
1063-6706
Citations 
PageRank 
References 
14
0.48
0
Authors
4
Name
Order
Citations
PageRank
Xiaojie Su1185172.94
Yao Wen2201.90
Peng Shi315816704.36
H. K. Lam43618193.15