Kernel-based Impulse Response Identification with Side-Information on Steady-State Gain

In this paper, we consider the problem of system identification when side-information is available on the steady-state gain (SSG) of the system. We formulate a general nonparametric identification method as an infinite-dimensional constrained convex program over the reproducing kernel Hilbert space...

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Veröffentlicht in:	IEEE transactions on automatic control Jg. 68; H. 10; S. 1 - 8
Hauptverfasser:	Khosravi, M., Smith, R. S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Constraints Convexity Estimation Finite impulse response filters Hilbert space Identification methods Impulse response Kernel Kernel-based identification method Kernels Mathematical analysis Mathematical models Numerical stability Optimization Regularization Side-information Steady state Steady-state gain System identification
ISSN:	0018-9286, 1558-2523
Online-Zugang:	Volltext
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