@inproceedings{1468d9a9e79f4f808136e21b16d4cbb9, title = "A Partial Internal Model for Approximate Robust Output Regulation of Boundary Control Systems", abstract = "Introduced for finite-dimensional systems by Fran- cis and Wonham in the mid 70’s, the internal model principle states that a stabilizing controller achieves asymptotic output tracking and disturbance rejection robustly if and only if it contains a p-copy of the exosystem frequencies, where p is the dimension of the output space of the plant. Later, the internal model principle has been extended, e.g., to boundary control systems on multidimensional spatial domains, and in this setting it follows from the principle that every robust output regulator is necessarily infinite-dimensional. However, it was recently established by the authors that robust approximate output tracking can be achieved with a finite-dimensional controller, and in the present paper, we formulate an internal model for this purpose. The efficiency of the method is numerically demonstrated using the heat equation on the unit square in $\mathbb{R}^2$ with boundary control and boundary observation.", author = "Jukka-Pekka Humaloja and Lassi Paunonen and Mikael Kurula", year = "2018", month = "7", day = "20", language = "English", pages = "586--591", booktitle = "23rd International Symposium on Mathematical Theory of Networks and Systems", }