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Neural identification for visual servo control of an underactuated system

This paper presents a scheme of neuro identifier for control using visual servoing for a underactuated electromechanical system (inverted pendulum). The neuro identifier receives information about position and angle of the plant as well as the control input through fixed camera, then a model based l...

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Main Authors:	Aranda Lopez, Nahum J., Ramos Velasco, Luis E., Cansino, Joel Suarez
Format:	Conference Proceeding
Language:	English
Subjects:	Artificial neural networks Biological neural networks Cameras Control systems DSP's Image edge detection Linear control neural network identification Pendulums Power plants Sensors Servocontrol Servomechanisms underactuated systems Visual Visual servoing
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creator	Aranda Lopez, Nahum J. Ramos Velasco, Luis E. Cansino, Joel Suarez
description	This paper presents a scheme of neuro identifier for control using visual servoing for a underactuated electromechanical system (inverted pendulum). The neuro identifier receives information about position and angle of the plant as well as the control input through fixed camera, then a model based linear control (LQR) is developed.
doi_str_mv	10.23919/ECC.2007.7068663
format	conference_proceeding
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Artificial neural networks Biological neural networks Cameras Control systems DSP's Image edge detection Linear control neural network identification Pendulums Power plants Sensors Servocontrol Servomechanisms underactuated systems Visual Visual servoing
title	Neural identification for visual servo control of an underactuated system
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