Control-Enabling Adaptive Nonlinear System Identification

Konstantinos Zisis

doi:10.1109/TAC.2021.3106870

Control-Enabling Adaptive Nonlinear System Identification

2022-07-01

3

PRE

AI

K

Konstantinos Zisis

C

Charalampos P. Bechlioulis

G

George A. Rovithakis *

DOI：10.1109/TAC.2021.3106870

Original

Original request for help

Save

Abstract

En 中文

In this article, we rely on the theoretical foundations of radial basis function neural networks to form an adaptive parameter estimation problem, which we solve using the recently introduced prescribed performance control methodology. Such combination results in a compact user-configurable adaptive nonlinear system identification methodology that can be used to retrieve the open-loop nonlinear plant dynamics in any compact region of interest.

Keywords:

Adaptive systems

Trajectory

Nonlinear dynamical systems

Mathematical model

Linear systems

Uncertainty

Transient analysis

Adaptive identification

persistency of excitation (PE)

Control-Enabling Adaptive Nonlinear System Identification

Abstract

Journal

Organization