Publication
Control no lineal adaptativo con identificación dispersa
Conference Article
Conference
Jornadas de Automática (JJAA)
Edition
XLII
Pages
365-372
Doc link
https://doi.org/10.17979/spudc.9788497498043.365
File
Abstract
This work presents a controller with parameter estimation focused on non-linear, unknown and time-variant systems. The proposal consists of an on-line learning algorithm to estimate the system equations, and a controller that uses this information to stabilize the plant. Our approach is to combine a non-linear observer and a parameter estimator using sparse optimization techniques. The resulting algorithm operates in two stages: the learning stage, where unknown functions are learned on-line, and the execution stage, where the plant is controlled with pre-established objectives. The proposed algorithm can autonomously decide what is its current stage by using a learning metric. We have validated our algorithm using numerical simulation in a roto-magnet plant.
Categories
adaptive control, control nonlinearities.
Author keywords
Extended high gain observer, Sparse parameter estimation, Learning metric
Scientific reference
R. Domingo-Enrich, A. Cecilia and R. Costa. Control no lineal adaptativo con identificación dispersa, XLII Jornadas de Automática, 2021, Castellón, Spain, pp. 365-372.
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