Title
Robust Stabilization Of Fuzzy Control For Nonlinear Multiple Time-Delay Interconnected Systems Via Neural-Network-Based Approach
Abstract
The stabilization problem is considered in this study for a nonlinear multiple time-delay large-scale (NMTDLS) system. First, the NN model is employed to approximate each subsystem. Then, an LDI state-space representation is established for the dynamics of each NN model. According to the LDI state-space representation, a robustness design of fuzzy control is proposed to overcome the effect of modeling errors between subsystems and NN models. Next, in terms of Lyapunov's direct method, a delay-dependent stability criterion is derived to guarantee the asymptotic stability of NMTDLS systems. Subsequently, a set of fuzzy controllers is synthesized to stabilize the NMTDLS system.
Year
DOI
Venue
2006
10.1109/FUZZY.2006.1681756
2006 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5
Keywords
Field
DocType
large-scale systems, neural network, modeling error, delay-dependent stability criterion
Lyapunov function,Stability criterion,Nonlinear system,Computer science,Control theory,Fuzzy logic,Robustness (computer science),Exponential stability,Fuzzy control system,Robust control
Conference
ISSN
Citations 
PageRank 
1098-7584
0
0.34
References 
Authors
25
5
Name
Order
Citations
PageRank
Feng-hsiag Hsiao128318.94
Yew-Wen Liang218715.62
Sheng-Dong Xu31488.79
Chia-yen Lin4343.75
Zhi-ren Tsai51099.39