Name
Title | ||
|---|---|---|
Optimal Fuzzy Controller Design Using an Evolutionary Strategy-Based Particle Swarm Optimization for Redundant Wheeled Robots |
Abstract | ||
|---|---|---|
This paper presents an optimal fuzzy controller design method using an evolutionary strategy-based particle swarm optimization (ESPSO) to four-wheeled redundant mobile robots, called FC-ESPSO. In comparison with conventional fuzzy controllers, this approach takes the advantages of evolutionary strategy, fuzzy control, and PSO, thereby obtaining better population diversity, avoiding premature convergence, and achieving self-adaptive redundant control. This hybrid computing is then applied to develop an optimal fuzzy controller of redundant wheeled robots. The optimal parameters of the dynamic controller are self-adaptive via the proposed FC-ESPSO to resolve trajectory-tracking problem. Simulation results are given to exhibit the merits of the proposed FC-ESPSO than other related control methods for redundant wheeled robots. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/s40815-015-0055-y | International Journal of Fuzzy Systems |
Keywords | DocType | Volume |
Evolutionary strategy,Fuzzy controller,Mobile robot,PSO | Journal | 17 |
Issue | ISSN | Citations |
3 | 1562-2479 | 1 |
PageRank | References | Authors |
0.36 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hsu-Chih Huang | 1 | 229 | 18.43 |
| Sendren Sheng-Dong Xu | 2 | 34 | 5.99 |
| chihhao chiang | 3 | 3 | 1.06 |