Adaptive nonlinear system control using robust and low-complexity coefficient estimation
US10075201B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 12, 2017 |
| Grant date | Sep 11, 2018 |
| Priority date | — |
| Expiry date | Jul 12, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04B2001/0425
- WIPO fieldBasic communication processes
- WIPO sectorElectrical engineering
Abstract
An adaptive controller for a nonlinear system includes a Volterra filter having a transfer function defined by P coefficients. The controller includes an alignment/compensation circuit, which aligns the input samples to the output samples of the nonlinear system. The controller generates a P×P matrix using at least one of input samples to, or output samples from the nonlinear system and normalizes each element of the P×P matrix using a respective normalization factor. The controller generates and solves a system of P linear equations from the P×P matrix and a P×1 matrix derived from input and output samples of the nonlinear system using Cholesky decomposition that may include Fast Inverse Square Root operations and forward backward elimination to generate P values. The controller multiplies each of the P values by an inverse of a respective one of the normalization factors to generate the P coefficients for the Volterra filter.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.