Modelling and control of dynamic systems using Gaussian process models
From MaRDI portal
Publication:896718
DOI10.1007/978-3-319-21021-6zbMath1339.93004OpenAlexW2480512873MaRDI QIDQ896718
Publication date: 10 December 2015
Published in: Advances in Industrial Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-319-21021-6
Gaussian processes (60G15) Research exposition (monographs, survey articles) pertaining to systems and control theory (93-02) Stochastic stability in control theory (93E15) Stochastic systems in control theory (general) (93E03)
Related Items (8)
A flexible state-space model for learning nonlinear dynamical systems ⋮ A stochastic variational framework for recurrent Gaussian processes models ⋮ Online learning‐based model predictive control with Gaussian process models and stability guarantees ⋮ A framework for machine learning of model error in dynamical systems ⋮ Distributed predictive control based on Gaussian process models ⋮ Finite-Dimensional Gaussian Approximation with Linear Inequality Constraints ⋮ Unnamed Item ⋮ Consistent online Gaussian process regression without the sample complexity bottleneck
Uses Software
This page was built for publication: Modelling and control of dynamic systems using Gaussian process models