Tuning multi-input complex dynamic systems using sparse representations of performance and extremum-seeking control
US9972962B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 11, 2015 |
| Grant date | May 15, 2018 |
| Priority date | — |
| Expiry date | Jul 7, 2036 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH01S3/0014
- WIPO fieldOptics
- WIPO sectorInstruments
Abstract
Systems and methods for tuning multi-input complex dynamic systems in order to automatically obtain optimal performance are provided. Training is performed by measuring performance of the complex system using an objective function for a sparse sampling of input values over a variety of dynamic regimes. A sparse representation of the performance for each dynamic regime is stored in a library. At run-time, performance is measured and matched to a sparse representation in the library, and the complex system is configured with the optimal input values associated with the matching sparse representation from the library. Performance may then be optimized using an extremum-seeking controller. In some embodiments, the disclosed techniques are applied to a self-tuning mode-locked laser. In some embodiments, the disclosed techniques are applied to other complex systems such as phased array antennas and neurostimulation systems.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.