Name
Abstract | ||
|---|---|---|
In this paper, an adaptive growing-and-pruning neural network control (AGPNNC) system is developed for a linear piezoelectric ceramic motor. The AGPNNC system is comprised of a neural controller and a robust controller. The neural controller utilizes a self-constructing neural network (SCNN) to mimic an ideal computation controller, and the robust controller is designed to achieve L-2 tracking performance with desired attenuation level. If the hidden neuron of the SCNN is insignificant, it should be removed to reduce the computation load; otherwise, if the hidden neuron of the SCNN is significant, it should be retained. Finally, the experimental results show that a perfect tracking response can be achieved. |
Year | Venue | Keywords |
|---|---|---|
2007 | Lecture Notes in Engineering and Computer Science | adaptive control,neural network control,self-structuring,linear piezoelectric ceramic motor |
Field | DocType | ISSN |
Neural control,Computer science,Artificial intelligence,Machine learning,Pruning | Conference | 2078-0958 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chen-fei Hsu | 1 | 0 | 0.68 |
| Tsu-Tian Lee | 2 | 1635 | 148.07 |
| Chih-min Lin | 3 | 0 | 2.03 |
| Bore-Kuen Lee | 4 | 87 | 11.30 |