Kernel-Based Regularized Continuous-Time System Identification from Sampled Data
Published in arXiv (Cornell University) • Sep 14, 2024
NobleIDNI0P75W43R37S40
Authors:,,
Xiaozhu Fang
Biqiang Mu
Tianshi Chen
Abstract
The identification of continuous-time (CT) systems from discrete-time (DT) input and output signals, i.e., the sampled data, has received considerable attention for half a century. The state-of-the-art methods are parametric methods and thus subject to the typical issues of parametric methods. In th...
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