The Control Based on Lyapunov Adaptation Law to be Improved by Behavioral Cloning and Machine Learning (CROSBI ID 516937)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Kulić, Ranka ; Vukić, Zoran
engleski
The Control Based on Lyapunov Adaptation Law to be Improved by Behavioral Cloning and Machine Learning
Development of adaptive control system for over its history has a great number of approaches. A crucial property of all approaches is that they have the ability to adapt the controller to accommodate changes in the process. That means that the controller maintains a required level of performance in spite of noise and fluctuation in the process. The paper focuses on model reference adaptive controllers based on Lyapunov adaptive law. The named adaptive controller in some cases has a little level of performance regarding conventional controller. In order to improve the controller performance behavioral cloning is used. In the behavioral cloning, the system learns from control traces of a human operator. The advantage of the named approach lies in simplicity with regard to the controller parameters tune up in order to reach an appropriate performance
adaptive control; behavioral cloning; machine learning; Lyapunov adaptive law
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Podaci o prilogu
302-305-x.
2005.
objavljeno
Podaci o matičnoj publikaciji
EUROCON 2005 : The International Conference on Computer as a Tool : Proceedings of IEEE Region 8 EUROCON 2005 Conference
Milić, Ljiljana
Beograd: Academic Mind
1-4244-0050-3
Podaci o skupu
EUROCON 2005 : The International Conference on Computer as a Tool
predavanje
21.11.2005-24.11.2005
Crna Gora; Beograd, Srbija