Parameter Identification with Finite-Convergence Time Alertness Preservation
Statistics Theory
2020-12-02 v1 Dynamical Systems
Statistics Theory
Abstract
In this brief note we present two new parameter identifiers whose estimates converge in finite time under weak interval excitation assumptions. The main novelty is that, in contrast with other finite-convergence time (FCT) estimators, our schemes preserve the FCT property when the parameters change. The previous versions of our FCT estimators can track the parameter variations only asymptotically. Continuous-time and discrete-time versions of the new estimators are presented
Cite
@article{arxiv.2012.00369,
title = {Parameter Identification with Finite-Convergence Time Alertness Preservation},
author = {Romeo Ortega and Alexey Bobtsov and Nikolay Nikolaev},
journal= {arXiv preprint arXiv:2012.00369},
year = {2020}
}
Comments
arXiv admin note: text overlap with arXiv:1908.05125