Abstract
This paper presents an effective force control method in which multiple fuzzy-neuro force controllers are suitably combined with a proper rate in accordance with the unknown dynamics of an environment automatically. The optimal combination rate of the fuzzy-neuro force controllers according to the environment dynamics is defined online by a neural network which is off-line trained with genetic algorithms. The effectiveness of the proposed method has been evaluated by computer simulation.
| Original language | English |
|---|---|
| Pages (from-to) | 2106-2111 |
| Number of pages | 6 |
| Journal | Proceedings - IEEE International Conference on Robotics and Automation |
| Volume | 3 |
| Publication status | Published - Dec 3 2000 |
| Externally published | Yes |
| Event | ICRA 2000: IEEE International Conference on Robotics and Automation - San Francisco, CA, USA Duration: Apr 24 2000 → Apr 28 2000 |
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Artificial Intelligence
- Electrical and Electronic Engineering