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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Veröffentlicht in:	Entropy (Basel, Switzerland) Jg. 22; H. 8; S. 834
Hauptverfasser:	Jakowluk, Wiktor, Godlewski, Karol
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 30.07.2020 MDPI
Schlagworte:	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-Zugang:	Volltext
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