Identification of nonlinear controllers from data: theory and computation
Systems and Control
2016-08-08 v1 Dynamical Systems
Optimization and Control
Abstract
This manuscript contains technical details and proofs of recent results developed by the authors, pertaining to the design of nonlinear controllers from the experimental data measured on an existing feedback control system.
Keywords
Cite
@article{arxiv.1309.1574,
title = {Identification of nonlinear controllers from data: theory and computation},
author = {Lorenzo Fagiano and Carlo Novara},
journal= {arXiv preprint arXiv:1309.1574},
year = {2016}
}
Comments
The material contained in this manuscript is part of a paper submitted for possible publication on the IEEE Transactions on Automatic Control and is subject to IEEE Copyright. If accepted, the copy of record will be available at IEEEXplore library: http://ieeexplore.ieee.org/