Abstract
A novel approach to intelligent control systems is proposed. It has three main functions: the fuzzy neural network controller, the performance evaluator, and the decision maker, which is to explore new actions to enhance control performance. The multiobjective genetic algorithm is presented to implement the adaptive mechanism to explore the new actions. The simulation results of robotic path planning showed the robot could reach the target point without collisions in various environments.
| Original language | English |
|---|---|
| Pages (from-to) | 262-267 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 3 |
| Publication status | Published - 2002 |
| Event | 2002 IEEE International Conference on Systems, Man and Cybernetics - Yasmine Hammamet, Tunisia Duration: 2002 Oct 6 → 2002 Oct 9 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Hardware and Architecture