Adaptive control system capable of recovering from unexpected situations
US10001760B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 23, 2015 |
| Grant date | Jun 19, 2018 |
| Priority date | — |
| Expiry date | Jun 23, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F9/451
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described is a system for generating an adaptable predictive model of the dynamics of a complex system, such as a vehicle. A set of current sensory data describing the vehicle's current state is collected from the vehicle. A set of predictive models is evaluated to identify a predictive model that best matches the vehicle's current state. If a predictive model is identified as a match, then the predictive model is adapted to better fit the vehicle's current state, resulting in an adapted predictive model. If a match is not identified, then a new predictive model is generated through automatic model learning using the current set of sensory data. The adapted predictive model or the new predictive model is then used to generate control outputs for the vehicle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.