NONLINEAR ADAPTIVE CONTROL USING NONPARAMETRIC GAUSSIAN PROCESS PRIOR MODELS
نویسندگان
چکیده
منابع مشابه
Nonlinear Adaptive Control Using Nonparametric Gaussian Process Prior Models
Nonparametric Gaussian Process prior models, taken from Bayesian statistics methodology are used to implement a nonlinear adaptive control law. The expected value of a quadratic cost function is minimised, without ignoring the variance of the model predictions. This leads to implicit regularisation of the control signal (caution), and excitation of the system. The controller has dual features, ...
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ژورنال
عنوان ژورنال: IFAC Proceedings Volumes
سال: 2002
ISSN: 1474-6670
DOI: 10.3182/20020721-6-es-1901.01040