Neural Network Feedback Control: Work at UTA's Automation and Robotics Research Institute

Authors:
F. L. Lewis
Affiliations:
Automation and Robotics Research Institute, The University of Texas at Arlington, Fort Worth, USA 76118-7115
Venue:
Journal of Intelligent and Robotic Systems
Year:
2007

Citing 6
Cited 1

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Brief paper: A neural network solution for fixed-final time optimal control of nonlinear systems

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Abstract

This is an outline of research in neural networks for feedback control done since the mid 1990s at the Automation and Robotics Research Institute (ARRI) of The University of Texas at Arlington (UTA). It shows how the developments of Intelligent Control Systems based on neural networks have followed three main generations. This statement provides a short, broad-brush perspective on the development of intelligent neural feedback controllers.