日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
arXiv:2403.06640

Passive iFIR Filters for Data-Driven Control

Passive iFIR Filters for Data-Driven Control

シェア:XThreadsFacebookLINEはてブBluesky

著者: Zixing Wang, Yongkang Huo, Fulvio Forni

分類: eess.SY, cs.RO, cs.SY, math.OC

原文アブストラクト

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.