Title | ||
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Robust Stabilization Of Fuzzy Control For Nonlinear Multiple Time-Delay Interconnected Systems Via Neural-Network-Based Approach |
Abstract | ||
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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 |
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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 Hsiao | 1 | 283 | 18.94 |
Yew-Wen Liang | 2 | 187 | 15.62 |
Sheng-Dong Xu | 3 | 148 | 8.79 |
Chia-yen Lin | 4 | 34 | 3.75 |
Zhi-ren Tsai | 5 | 109 | 9.39 |