Searched for: subject%3A%22Kernel%255C-based%255C+methods%22
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González, Rodrigo A. (author), Tiels, Koen (author), Oomen, T.A.E. (author)
Sampling in control applications is increasingly done non-equidistantly in time. This includes applications in motion control, networked control, resource-aware control, and event-based control. Some of these applications, like the ones where displacement is tracked using incremental encoders, are driven by signals that are only measured when...
journal article 2024
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Khosravi, M. (author), Smith, Roy S. (author)
The notion of reproducing kernel Hilbert space (RKHS) has emerged in system identification during the past decade. In the resulting framework, the impulse response estimation problem is formulated as a regularized optimization defined on an infinite-dimensional RKHS consisting of stable impulse responses. The consequent estimation problem is...
journal article 2023
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Khosravi, M. (author), Smith, Roy S. (author)
This paper discusses the problem of system identification when frequency domain side-information is available. We mainly consider the case where the side-information is provided as the H<sub>∞</sub>-norm of the system being bounded by a given scalar. This framework allows considering different forms of frequency domain side-information, such...
journal article 2023