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Data-Driven Analysis and Controller Design for Discrete-Time Systems Under Aperiodic Sampling
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DOI：10.1109/TAC.2022.3183969.png)
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Abstract
En 中文
This article is concerned with data-driven analysis of discrete-time systems under aperiodic sampling, and in particular with a data-driven estimation of the maximum sampling interval (MSI). The MSI is relevant for the analysis of and controller design for cyber-physical, embedded and networked systems, since it gives a limit on the time span between sampling instants such that stability is guaranteed. We propose tools to compute the MSI for a given controller and to design a controller with a preferably large MSI, both directly from a finite-length, noise-corrupted state-input trajectory of the system. We follow two distinct approaches for stability analysis, one taking a robust control perspective and the other a switched systems perspective on the aperiodically sampled system. In a numerical example and a subsequent discussion, we demonstrate the efficacy of our developed tools and compare the two approaches.
Keywords:
Control systems
Stability analysis
Delays
Estimation
Trajectory
Switched systems
Data models
Data-driven control
robust control
sampled-data control
switched systems
Journal
IF:
7
Papers:
1.3W
Citations:
6.7W