Analysis and design of dynamical system controllers using neural differential equations
US12236330B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 26, 2021 |
| Grant date | Feb 25, 2025 |
| Priority date | — |
| Expiry date | Oct 6, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In general, the disclosure describes techniques for characterizing a dynamical system and a neural ordinary differential equation (NODE)-based controller for the dynamical system. An example analysis system is configured to: obtain a set of parameters of a NODE model used to implement the NODE-based controller, the NODE model trained to control the dynamical system; determine, based on the set of parameters, a system property of a combined system comprising the dynamical system and the NODE-based controller, the system property comprising one or more of an accuracy, safety, reliability, reachability, or controllability of the combined system; and output the system property to modify one or more of the dynamical system or the NODE-based controller to meet a required specification for the combined system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.