Robust Tube-based Model Predictive Control with Koopman Operators--Extended Version

Autor: Zhang, Xinglong, Pan, Wei, Scattolini, Riccardo, Yu, Shuyou, Xu, Xin

Publikováno v: Automatica, March, 2022

Koopman operators are of infinite dimension and capture the characteristics of nonlinear dynamics in a lifted global linear manner. The finite data-driven approximation of Koopman operators results in a class of linear predictors, useful for formulat

Externí odkaz: http://arxiv.org/abs/2108.13011

Robust Learning-based Predictive Control for Discrete-time Nonlinear Systems with Unknown Dynamics and State Constraints

Autor: Zhang, Xinglong, Liu, Jiahang, Xu, Xin, Yu, Shuyou, Chen, Hong

Publikováno v: IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022

Robust model predictive control (MPC) is a well-known control technique for model-based control with constraints and uncertainties. In classic robust tube-based MPC approaches, an open-loop control sequence is computed via periodically solving an onl

Externí odkaz: http://arxiv.org/abs/1911.09827

Establishment of a two-axis commercial vehicle 6DOF prediction model for nonlinear MPC controller.

Autor: Zhang, Boshi, Shi, Shuming, Yu, Shuyou, Yu, Jianhua, Li, YongFu, Meng, Fanyu, Lin, Nan

Publikováno v: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering (Sage Publications, Ltd.); Sep2024, Vol. 238 Issue 10/11, p2891-2904, 14p

Nash optimality based distributed model predictive control for vehicle platoon

Autor: Yu, Shuyou, Chen, Hao, Feng, Yangyang, Zhang, Yajing, Li, Yongfu, Ebenbauer, Christian, Chen, Hong

Publikováno v: In IFAC PapersOnLine 2020 53(2):6610-6615

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