Abstract
In this paper a method for designing a three level, hierarchical, self-learning fuzzy logic control systems based on the integration of evolutionary algorithms and fuzzy logic is given to provide an integrated knowledge base for intelligent control of mobile robots for collision-avoidance in a common workspace. The robots are considered as point masses in the simulation study. Evolutionary algorithms are employed as the adaptive method for learning the fuzzy rules of the control systems as well as learning, the mapping, and interaction between fuzzy knowledge bases of different fuzzy logic systems.
| Original language | English |
|---|---|
| Title of host publication | World Scientific |
| Editors | B Bouchon-Meunier, R.R. Yager, L.A. Zadeh |
| Place of Publication | USA |
| Publisher | World Scientific Publishing |
| Pages | 119-130 |
| Number of pages | 12 |
| Volume | 20 |
| ISBN (Electronic) | 9789814492744 |
| ISBN (Print) | 9789810243647 |
| DOIs | |
| Publication status | Published - 1 Sept 2000 |