Zobrazeno 1 - 10
of 570
pro vyhledávání: '"Oomen, Tom"'
Publikováno v:
IEEE Transactions on Automatic Control (2024)
Model inversion is a fundamental technique in feedforward control. Unstable inverse models present a challenge in that useful feedforward control trajectories cannot be generated by directly propagating them. Stable inversion is a process for generat
Externí odkaz:
http://arxiv.org/abs/2404.09845
Block coordinate descent is an optimization technique that is used for estimating multi-input single-output (MISO) continuous-time models, as well as single-input single output (SISO) models in additive form. Despite its widespread use in various opt
Externí odkaz:
http://arxiv.org/abs/2404.09071
Autor:
van Haren, Max, Tsurumoto, Kentaro, Mae, Masahiro, Blanken, Lennart, Ohnishi, Wataru, Oomen, Tom
Iterative learning control (ILC) is capable of improving the tracking performance of repetitive control systems by utilizing data from past iterations. The aim of this paper is to achieve both task flexibility, which is often achieved by ILC with bas
Externí odkaz:
http://arxiv.org/abs/2403.02039
Factors like improved data availability and increasing system complexity have sparked interest in data-driven predictive control (DDPC) methods like Data-enabled Predictive Control (DeePC). However, closed-loop identification bias arises in the prese
Externí odkaz:
http://arxiv.org/abs/2402.14374
Switched Reluctance Motors (SRMs) are cost-effective electric actuators that utilize magnetic reluctance to generate torque, with torque ripple arising from unaccounted manufacturing defects in the rotor tooth geometry. This paper aims to design a ve
Externí odkaz:
http://arxiv.org/abs/2402.01216
Autor:
Kon, Johan, van de Wijdeven, Jeroen, Bruijnen, Dennis, Tóth, Roland, Heertjes, Marcel, Oomen, Tom
Ensuring stability of discrete-time (DT) linear parameter-varying (LPV) input-output (IO) models estimated via system identification methods is a challenging problem as known stability constraints can only be numerically verified, e.g., through solvi
Externí odkaz:
http://arxiv.org/abs/2401.10052
When identifying electrical, mechanical, or biological systems, parametric continuous-time identification methods can lead to interpretable and parsimonious models when the model structure aligns with the physical properties of the system. Traditiona
Externí odkaz:
http://arxiv.org/abs/2401.01263
Autor:
Oomen, Tom, Rojas, Cristian R.
A direct data-driven iterative algorithm is developed to accurately estimate the $H_\infty$ norm of a linear time-invariant system from continuous operation, i.e., without resetting the system. The main technical step involves a reversed-circulant ma
Externí odkaz:
http://arxiv.org/abs/2311.12607
Distributionally robust optimization (DRO) incorporates robustness against uncertainty in the specification of probabilistic models. This paper focuses on mitigating the curse of dimensionality in data-driven DRO problems with optimal transport ambig
Externí odkaz:
http://arxiv.org/abs/2310.20657
Switched Reluctance Motors (SRMs) enable power-efficient actuation with mechanically simple designs. This paper aims to identify the nonlinear relationship between torque, rotor angle, and currents, to design commutation functions that minimize torqu
Externí odkaz:
http://arxiv.org/abs/2309.17099