Work

System identification beyond the Nyquist frequency: A kernel-regularized approach

Year: 2025

Type: article

Abstract: Models that contain intersample behavior are important for control design of systems with slow-rate outputs. The aim of this paper is to develop a system identification technique for fast-rate models of systems where only slow-rate output measurements are available, e.g., vision-in-the-loop systems. In this paper, the intersample response is estimated by identifying fast-rate models through least-squares criteria, and the limitations of these models are determined. In addition, a method is developed that surpasses these limitations and is capable of estimating unique fast-rate models of arbitrary order by regularizing the least-squares estimate. The developed method utilizes fast-rate inputs and slow-rate output measurements and identifies fast-rate models accurately in a single identification experiment. Finally, both simulation and experimental validation on a prototype wafer stage demonstrate the effectiveness of the framework.

Source: Control Engineering Practice

DOI: 10.1016/j.conengprac.2025.106425

Authors: Max van Haren, Roy S. Smith, Tom Oomen

Institutions: ETH Zurich, Automatic Control Laboratory, Eindhoven University of Technology, Delft University of Technology

Language: English

Topic: Control Systems and Identification

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,010

Funders: European Commission, Electronic Components and Systems for European Leadership, Horizon 2020 Framework Programme, H2020 LEIT Information and Communication Technologies