An Adaptive Neural Identifier with Applications to Financial and Welding Systems

This paper considers the online identification problem of uncertain systems. Based on parallel and series-parallel configurations with feedback and by using Lyapunov arguments, a unified identification algorithm is introduced to ensure the boundedness of all associated errors and convergence of the...

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Bibliographic Details
Published in:International journal of control, automation, and systems 2021, Automation, and Systems, 19(5), , pp.1976-1987
Main Authors: Gularte, Kevin Herman Muraro, Chávez, Jairo José Muñoz, Vargas, José Alfredo Ruiz, Alfaro, Sadek Crisóstomo Absi
Format: Article
Language:English
Subjects:
Adaptive systems
Algorithms
Control
Engineering
Intelligent Control and Applications
Mechatronics
Parameter identification
Robotics
State estimation
제어계측공학
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Summary:This paper considers the online identification problem of uncertain systems. Based on parallel and series-parallel configurations with feedback and by using Lyapunov arguments, a unified identification algorithm is introduced to ensure the boundedness of all associated errors and convergence of the state estimation error to an arbitrary neighborhood of the origin. The main peculiarity of the proposed algorithm lies in allowing the adjustment of the identification transient by using parameters that are not related to the residual state error. Two examples are deemed to validate the theoretical results and show the relevance of the application of the proposed methodology for online weld geometry prediction.
ISSN:1598-6446
2005-4092
DOI:10.1007/s12555-020-0081-x