dr. ir. H.J. van Waarde

Faculteit Science and Engineering

Telefoon:

050 36 33939

E-mail:

h.j.van.waarde rug.nl

ORCID Research Portal

Publicaties

The shortest experiment for linear system identification

Camlibel, M. K., van Waarde, H. J. & Rapisarda, P., mrt.-2025, In: Systems and Control Letters. 197, 8 blz., 106045.

Onderzoeksoutput: Article › › peer review

A Behavioral Approach to Data-Driven Control With Noisy Input-Output Data

van Waarde, H. J., Eising, J., Camlibel, M. K. & Trentelman, H. L., feb.-2024, In: IEEE Transactions on Automatic Control. 69, 2, blz. 813-827 14 blz.

Onderzoeksoutput: Article › › peer review

Learning in memristive electrical circuits

Heidema, M., Besselink, B. & van Waarde, H., 23-sep.-2024, (Submitted) arXiv, 6 blz.

Onderzoeksoutput: Voordruk ›

Necessary and Sufficient Conditions for Data-Driven Model Reference Control

Wang, J., Baldi, S. & Van Waarde, H. J., 4-nov.-2024, In: IEEE Transactions on Automatic Control. 70, 4, blz. 2659-2666 8 blz.

Onderzoeksoutput: Article › › peer review

Orthogonal polynomial bases for data-driven analysis and control of continuous-time systems

Rapisarda, P., van Waarde, H. J. & Camlibel, M. K., jul.-2024, In: IEEE Transactions on Automatic Control. 69, 7, blz. 4307-4319 13 blz.

Onderzoeksoutput: Article › › peer review

Relaxation Systems and Cyclic Monotonicity

Chaffey, T., Van Waarde, H. J. & Sepulchre, R., 19-jan.-2024, 2023 62nd IEEE Conference on Decision and Control, CDC 2023. Institute of Electrical and Electronics Engineers Inc., blz. 1673-1679 7 blz. (Proceedings of the IEEE Conference on Decision and Control).

Onderzoeksoutput › › peer review

Alle (48) publicaties

Bekijk volledig onderzoeksprofiel

dr. ir. H.J. van Waarde

Publicaties

The shortest experiment for linear system identification

A Behavioral Approach to Data-Driven Control With Noisy Input-Output Data

Learning in memristive electrical circuits

Necessary and Sufficient Conditions for Data-Driven Model Reference Control

Orthogonal polynomial bases for data-driven analysis and control of continuous-time systems

Relaxation Systems and Cyclic Monotonicity

Synthesis of Dissipative Systems Using Input-State Data

A “fundamental lemma” for continuous-time systems, with applications to data-driven simulation

A Persistency of Excitation Condition for Continuous-Time Systems

A Quantitative Notion of Persistency of Excitation and the Robust Fundamental Lemma