Name
Abstract | ||
|---|---|---|
In this paper, a self-organizing intelligent controller (SOIC) is proposed for a class of nonlinear systems. The basic idea of this study is to use a self-organizing fuzzy neural network to imitate control law directly, and then, appeal to obtain a compact structure of controller to further reduce the computational burden and enhance the control performance. First, an effective criterion, using th... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TFUZZ.2017.2785812 | IEEE Transactions on Fuzzy Systems |
Keywords | Field | DocType |
Fuzzy neural networks,Fuzzy control,Nonlinear systems,Neurons,Stability analysis,Robustness,Control systems | Lyapunov function,Control theory,Control theory,Robustness (computer science),Fuzzy control system,Control system,Artificial neural network,Small Outline Integrated Circuit,Mathematics,Speedup | Journal |
Volume | Issue | ISSN |
26 | 5 | 1063-6706 |
Citations | PageRank | References |
2 | 0.36 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hong-Gui Han | 1 | 476 | 39.06 |
| 伍小龙 | 2 | 4 | 0.73 |
| 刘峥 | 3 | 2 | 0.36 |
| 乔俊飞 | 4 | 44 | 2.77 |
| Hong-Gui Han | 5 | 2 | 0.70 |
| Xiao-Long Wu | 6 | 30 | 2.77 |
| zheng liu | 7 | 267 | 21.86 |
| Jun-Fei Qiao | 8 | 2 | 0.70 |