Approximate Optimal Trajectory Tracking for Continuous Time Nonlinear Systems
Systems and Control
2017-07-25 v2 Optimization and Control
Abstract
Approximate dynamic programming has been investigated and used as a method to approximately solve optimal regulation problems. However, the extension of this technique to optimal tracking problems for continuous time nonlinear systems has remained a non-trivial open problem. The control development in this paper guarantees ultimately bounded tracking of a desired trajectory, while also ensuring that the controller converges to an approximate optimal policy.
Keywords
Cite
@article{arxiv.1301.7664,
title = {Approximate Optimal Trajectory Tracking for Continuous Time Nonlinear Systems},
author = {Rushikesh Kamalapurkar and Huyen Dinh and Shubhendu Bhasin and Warren Dixon},
journal= {arXiv preprint arXiv:1301.7664},
year = {2017}
}