Method and apparatus for high-order iterative self-learning control for robotic fish, and storage medium
US11360441B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 1, 2021 |
| Grant date | Jun 14, 2022 |
| Priority date | — |
| Expiry date | Sep 1, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/008
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
The invention relates to a field off artificial intelligence (AI) technologies, and discloses a method and an apparatus for high-order iterative self-learning control for a robotic fish, and a storage medium; the control method performs preferential iterative calculation on control gain elements in the control gain set to obtain a target control gain set; and performs high-order iterative calculation according to the target control gains, the first control input thrust and the first tracking error to obtain a target control input thrust, and then controls a robotic fish to swing according to the target control input thrust to obtain an expected speed. In this way, complete tracking and rapid convergence of a swim speed of a robotic fish in the whole operation space may be achieved.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.