Robust MPC for tracking constrained unicycle robots with additive disturbances-Reference-Cited by-同舟云学术

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Robust MPC for tracking constrained unicycle robots with additive disturbances

Published:2018-04 Issue: Volume:90 Page:172-184
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

Sun Zhongqi,Dai Li,Liu Kun,Xia Yuanqing,Johansson Karl Henrik

Funder

Vetenskapsrådet

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

Stiftelsen för Strategisk Forskning

Natural Science Foundation of Beijing Municipality

National Natural Science Foundation of China

International Federation of Automatic Control

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference56 articles.

1. Adaldo, A., Liuzza, D., Dimarogonas, D. V., & Johansson, K. H. (2016). Multi-agent trajectory tracking with self-triggered cloud access. In Proceedings of conference on decision and control (pp. 2207–2214).

2. Carrau, J. V., Liniger, A., Zhang, X., & Lygeros, J. (2016). Efficient implementation of Randomized MPC for miniature race cars. In Proceedings of European control conference (pp. 957–962).

3. Carvalho, A., Gao, Y., Gray, A., Tseng, H. E., & Borrelli, F. (2013). Predictive control of an autonomous ground vehicle using an iterative linearization approach. In Proceedings of International IEEE conference on intelligent transportation systems (pp. 2335–2340).

4. Leader-follower formation control of multiple nonholonomic mobile robots incorporating receding-horizon scheme;Chen;International Journal of Robotics Research,2010

5. Systems with persistent disturbances: predictive control with restricted constraints;Chisci;Automatica,2001

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