Linear Quadratic Tracking Control of Smooth Pursuit Eye Movements
Korentis GA and John D Enderle*
Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA
- *Corresponding Author:
- John D Enderle
Department of Biomedical Engineering
University of Connecticut
260 Glenbrook Road, Storrs
Connecticut 06269-3247, USA
E-mail: [email protected]
Received date: April 27, 2016; Accepted date: May 30, 2016; Published date: June 05, 2016
Citation: Korentis GA, Enderle JD (2016) Linear Quadratic Tracking Control of Smooth Pursuit Eye Movements. J Biomed Eng Med Devic 1: 112.
Copyright: © 2016 Korentis GA, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Conventional feedback control models of the oculomotor system fail to account for the destabilizing effects of neural transmission delays. To address this shortcoming, a linear quadratic tracking algorithm used to control smoothly pursuing eye movements of various target trajectories is presented. Based on the type of input to the system, it is shown that stability, in the presence of large motor feedback delays, can be maintained by modulating weighting factors intrinsic to the model. Conditions, such as the initial orientation of the eye relative to the location of where a target first becomes salient and the possible oscillatory nature that the reference trajectory may present, play important roles in determining the optimal cost to go motor control strategy at the onset of a tracking movement.