Name
Title | ||
|---|---|---|
The Characteristics Evaluation of Stacked-Type Electrostatic Actuators by the Neural Network |
Abstract | ||
|---|---|---|
We developed the electrostatic and layered actuator with the structure which alternately tucked 2 ribbons film electrode. The aim is for the application to the artificial muscle. We proposed the prediction system of spring characteristic which is beforehand estimated in order to develop the actuator efficiently. This system was almost completed as a system of the prediction. However, the prediction result is sometimes not suitable the practicable accuracy. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74827-4_132 | KES (2) |
Keywords | Field | DocType |
stacked-type electrostatic actuators,layered actuator,neural network,practicable accuracy,prediction result,ribbons film electrode,artificial muscle,characteristics evaluation,spring characteristic,prediction system | Control theory,Electrostatic actuator,Artificial neural network,Artificial muscle,Materials science,Electrode,Prediction system,Actuator | Conference |
Volume | ISSN | Citations |
4693 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masashi Kawaguchi | 1 | 24 | 14.93 |
| Katsuhisa Yamano | 2 | 0 | 0.34 |
| Kazuo Okuda | 3 | 0 | 0.68 |
| Takashi Jimbo | 4 | 15 | 7.35 |
| Naohiro Ishii | 5 | 461 | 128.62 |