Robustness Analysis of the Estimators for the Nonlinear System Identification

The main objective of the system identification is to deliver maximum information about the system dynamics, while still ensuring an acceptable cost of the identification experiment. The focus of such an idea is to design an appropriate experiment so that the departure from normal working conditions...

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Bibliographic Details
Published in:	Entropy (Basel, Switzerland) Vol. 22; no. 8; p. 834
Main Authors:	Jakowluk, Wiktor, Godlewski, Karol
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 30.07.2020 MDPI
Subjects:	Accuracy Adaptive filters Adaptive systems Algorithms Computer simulation Empirical analysis Entropy Entropy (Information theory) Error analysis Estimators Evaluation Experiments Identification methods Mathematical models Methods model fitting Noise Nonlinear systems optimal control Parameter estimation Parameter identification Quadratic programming robust estimation Robustness (mathematics) System dynamics System identification Water purification Water tanks White noise Working conditions optimal control system identification model fitting robust estimation
ISSN:	1099-4300, 1099-4300
Online Access:	Get full text
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