暂无分享,去创建一个
[1] Jan Peters,et al. Model Learning with Local Gaussian Process Regression , 2009, Adv. Robotics.
[2] Francesco Borrelli,et al. Learning Model Predictive Control for Iterative Tasks , 2016, ArXiv.
[3] John Lygeros,et al. Racing miniature cars: Enhancing performance using Stochastic MPC and disturbance feedback , 2017, 2017 American Control Conference (ACC).
[4] Carl E. Rasmussen,et al. Sparse Spectrum Gaussian Process Regression , 2010, J. Mach. Learn. Res..
[5] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[6] Agathe Girard,et al. Prediction at an Uncertain Input for Gaussian Processes and Relevance Vector Machines Application to Multiple-Step Ahead Time-Series Forecasting , 2002 .
[7] Sebastian Thrun,et al. A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving , 2010, 2010 IEEE International Conference on Robotics and Automation.
[8] J. Christian Gerdes,et al. Using the centre of percussion to design a steering controller for an autonomous race car , 2012 .
[9] J. Maciejowski,et al. Soft constraints and exact penalty functions in model predictive control , 2000 .
[10] Hans B. Pacejka,et al. THE MAGIC FORMULA TYRE MODEL , 1991 .
[11] Marc Peter Deisenroth,et al. Efficient reinforcement learning using Gaussian processes , 2010 .
[12] Benjamin Rosman,et al. Online Constrained Model-based Reinforcement Learning , 2017, UAI.
[13] Manfred Morari,et al. Optimization‐based autonomous racing of 1:43 scale RC cars , 2015, ArXiv.
[14] Massimo Guiggiani,et al. The Science of Vehicle Dynamics: Handling, Braking, and Ride of Road and Race Cars , 2014 .
[15] Carl E. Rasmussen,et al. A Unifying View of Sparse Approximate Gaussian Process Regression , 2005, J. Mach. Learn. Res..
[16] Francesco Borrelli,et al. Autonomous racing using learning Model Predictive Control , 2016, 2017 American Control Conference (ACC).
[17] J. Christian Gerdes,et al. Path tracking of highly dynamic autonomous vehicle trajectories via iterative learning control , 2015, 2015 American Control Conference (ACC).
[18] Angela P. Schoellig,et al. Robust Constrained Learning-based NMPC enabling reliable mobile robot path tracking , 2016, Int. J. Robotics Res..
[19] Volker Tresp,et al. A Bayesian Committee Machine , 2000, Neural Computation.
[20] Jaime F. Fisac,et al. Reachability-based safe learning with Gaussian processes , 2014, 53rd IEEE Conference on Decision and Control.
[21] Zoubin Ghahramani,et al. Sparse Gaussian Processes using Pseudo-inputs , 2005, NIPS.