Data-driven approximate output regulation of nonlinear systems
<|reference_start|>Data-driven approximate output regulation of nonlinear systems: The paper deals with the data-based design of controllers that solve the output regulation problem for nonlinear systems. Inspired by recent developments in model-based output regulation design techniques and in data-driven control design for nonlinear systems, we derive a data-dependent semidefinite program that, when solved, directly returns a controller that approximately regulates the tracking error to zero. When specialized to the case of linear systems, the result appears to improve upon existing work. Numerical results illustrate the findings.<|reference_end|>
@article{hu2024data-driven,
    title={Data-driven approximate output regulation of nonlinear systems},
    author={Zhongjie Hu, Claudio De Persis, Pietro Tesi},
    journal={arXiv preprint arXiv:2408.13914},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.13914},
    primaryClass={eess.SY cs.SY}
}