System identification through online sparse Gaussian process regression with input noise
نویسندگان
چکیده
منابع مشابه
System Identification through Online Sparse Gaussian Process Regression with Input Noise
There has been a growing interest in using non-parametric regression methods like Gaussian Process (GP) regression for system identification. GP regression does traditionally have three important downsides: (1) it is computationally intensive, (2) it cannot efficiently implement newly obtained measurements online, and (3) it cannot deal with stochastic (noisy) input points. In this paper we pre...
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ژورنال
عنوان ژورنال: IFAC Journal of Systems and Control
سال: 2017
ISSN: 2468-6018
DOI: 10.1016/j.ifacsc.2017.09.001