Aerospace Control Laboratory: Recent submissions
Now showing items 1-3 of 18
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Learning Sparse Gaussian Graphical Model with l0-regularization
(2014-08-22)For the problem of learning sparse Gaussian graphical models, it is desirable to obtain both sparse structures as well as good parameter estimates. Classical techniques, such as optimizing the l1-regularized maximum ... -
Supplementary material for nonparameteric adaptive control of time varying systems using gaussian processes
(2013-03-15)Real-world dynamical variations make adaptive control of time-varying systems highly relevant. However, most adaptive control literature focuses on analyzing systems where the uncertainty is represented as a weighted linear ... -
Bayesian Nonparametric Adaptive Control using Gaussian Processes
(2013-03-15)Most current Model Reference Adaptive Control (MRAC) methods rely on parametric adaptive elements, in which the number of parameters of the adaptive element are fixed a priori, often through expert judgment. An example ...
