An associative-memory-based method for system nonlinearities recursive estimation

Author:

Alegria Elvis Jara,Giesbrecht Mateus,Bottura Celso Pascoli

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference22 articles.

1. Proposals for on-line computational modeling of highly nonlinear time series and systems data;Alegria,2019

2. Alegria, J. E., & Bottura, C. P. (2019). Data-Based Local Smoothing Technique for Parameter Estimation of Nonlinear ARX Models. In American control conference ACC. Philadelphia.

3. Causal regression for online estimation of highly nonlinear parametrically varying models;Alegria;Automatica,2021

4. Model structure selection for switched NARX system identification: A randomized approach;Bianchi;Automatica,2021

5. Piecewise linear identification of non-linear systems;Billings;International Journal of Control,1986

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