Path Tracking for a Skid-steer Vehicle using Model Predictive Control with On-line Sparse Gaussian Process

Author:

Kim Taewan,Kim Wonchul,Choi Seungwon,Jin Kim H.

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference19 articles.

1. Bijl, H., Schön, T.B., van Wingerden, J.W., and Verhaegen, M. (2016). Online sparse gaussian process training with input noise. arXiv preprint arXiv:1601.08068.

2. Online sparse gaussian process regression using fitc and pitc approximations;Bijl;IFAC-PapersOnLine,2015

3. Trajectory tracking control of a four-wheel differentially driven mobile robot. In Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on, volume 4, 2632–2638;Caracciolo,1999

4. Experimental analysis of models for trajectory generation on tracked vehicles. In 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 1970–1977;Fink,2014

5. Skid steering-based control of a robotic vehicle with six in-wheel drives;Kang;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering,2010

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