Bayesian nonparametric adaptive control of time-varying systems using Gaussian processes

@article{Chowdhary2013BayesianNA,
  title={Bayesian nonparametric adaptive control of time-varying systems using Gaussian processes},
  author={Girish Chowdhary and Hassan A. Kingravi and Jonathan P. How and Patricio A. Vela},
  journal={2013 American Control Conference},
  year={2013},
  pages={2655-2661}
}
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 combination of fixed number of basis functions, with constant weights. One approach to modeling time variations is to assume time varying ideal weights, and use difference integration to accommodate weight variation. However, this approach reactively suppresses the… CONTINUE READING
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