Fano-based information theoretic method (FBIT) for design and optimization of nonlinear systems
US12242929B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 14, 2020 |
| Grant date | Mar 4, 2025 |
| Priority date | — |
| Expiry date | Nov 5, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/41
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Methods are provided for identifying and quantifying information loss in a system due to uncertainty and analyzing the impact on the reliability of system performance. Models and methods join Fano's equality with the Data Processing Inequality in a Markovian channel construct in order to characterize information flow within a multi-component nonlinear system and allow the determination of risk and characterization of system performance upper bounds based on the information loss attributed to each component. The present disclosure additionally includes methods for estimating the sampling requirements and for relating sampling uncertainty to sensing uncertainty. The present disclosure further includes methods for determining the optimal design of components of a nonlinear system in order to minimize information loss, while maximizing information flow and mutual information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.