| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 715424 | IFAC Proceedings Volumes | 2010 | 5 Pages |
Abstract
the paper is devoted to the design of the intelligent neuron network based control systems for underwater robot. New algorithm for intelligent controller learning is derived with usage of speed gradient method. Proposed systems provide the robot dynamics close to reference one. Results of simulation have confirmed the effectiveness of approach developed.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Alexander A. Dyda, Dmitry A. Os'kin,