Passive iFIR Filters for Data-Driven Control

Autor:	Wang, Zixing, Huo, Yongkang, Forni, Fulvio
Rok vydání:	2024
Předmět:	Electrical Engineering and Systems Science - Systems and Control Computer Science - Robotics Mathematics - Optimization and Control
Zdroj:	IEEE Control Systems Letters, vol. 8, pp. 1289-1294, 2024
Druh dokumentu:	Working Paper
DOI:	10.1109/LCSYS.2024.3408065
Popis:	We consider the design of a new class of passive iFIR controllers given by the parallel action of an integrator and a finite impulse response filter. iFIRs are more expressive than PID controllers but retain their features and simplicity. The paper provides a model-free data-driven design for passive iFIR controllers based on virtual reference feedback tuning. Passivity is enforced through constrained optimization (three different formulations are discussed). The proposed design does not rely on large datasets or accurate plant models. Comment: 6 pages, 7 figures, Accepted by IEEE Control Systems Letters (L-CSS) with the option to present it to 2024 Conference on Decision and Control (CDC 2024)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2403.06640 Zobrazit plný text záznamu View this record from Arxiv