Control Systems and Identification
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Scope of this subject
This cluster of papers covers advances in system identification techniques, including parameter estimation for nonlinear models, data-driven control, model-based control, feedback controllers, state estimation for multivariable systems, and the development of recursive algorithms. The papers also discuss model selection approaches and optimal experiment design for system identification.
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Research vocabulary
system identification; nonlinear system identification; closed-loop identification; subspace identification; Hammerstein model; model order selection; self-tuning control; multivariable systems; transfer function identification; input-output data; persistent excitation; frequency-domain identification; ARX model; recursive identification; online system identification; nonparametric identification; Volterra series; process identification; model structure selection; ARMAX model; least squares identification; robust identification; bilinear systems; prediction error method; recursive parameter estimation
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Numeric address and provenance
Morton address: 36240490731294325 · morton4x16-v1
Coordinates: (3, 22, 2207, 11236). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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