A DQN-based intelligent control method for heavy haul trains on long steep downhill section

W Liu, S Su, T Tang, X Wang - Transportation Research Part C: Emerging …, 2021 - Elsevier
The cyclic air braking strategy on the long and steep downhill section is one of the biggest
challenges for heavy haul railway lines in China. To deal with this problem, this paper …

Cross-layer defense methods for jamming-resistant CBTC systems

L Zhu, Y Li, FR Yu, B Ning, T Tang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Communication-based Train Control (CBTC) systems are the burgeoning directions for
develo** future train control systems. With the adoption of wireless communication and …

Hierarchical model predictive control of Venlo-type greenhouse climate for improving energy efficiency and reducing operating cost

D Lin, L Zhang, X **a - Journal of Cleaner Production, 2020 - Elsevier
In this paper, a hierarchical control strategy for Venlo-type greenhouse climate control under
South Africa climate is proposed to improve energy efficiency and reduce operating cost …

Industrial energy systems in view of energy efficiency and operation control

X **a, L Zhang - Annual Reviews in Control, 2016 - Elsevier
Energy efficiency improvement of industrial systems through the application of demand side
management (DSM) techniques is discussed. In particular, a unified classification of …

Robust cruise control for the heavy haul train subject to disturbance and actuator saturation

X Wang, S Su, Y Cao, L Qin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper investigates the disturbance observer based robust cruise control problem for the
heavy haul train with input saturation and disturbances. Both uncertain parameters and …

Model predictive control for hybrid levitation systems of maglev trains with state constraints

W Hu, Y Zhou, Z Zhang, H Fujita - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Levitation control is a core technique of magnetic levitation (Maglev) trains, whose
performance has a significant impact on the driving safety and ride comfort during the …

Intelligent operation of heavy haul train with data imbalance: A machine learning method

X Wang, S Li, T Tang, X Wang, J Xun - Knowledge-based systems, 2019 - Elsevier
Compared with high speed trains and metro subways, heavy haul train operations are more
challenging for their complex dynamic characteristics and complicated running …

Reinforcement learning approach for optimal control of multiple electric locomotives in a heavy-haul freight train: A Double-Switch-Q-network architecture

H Tang, Y Wang, X Liu, X Feng - Knowledge-Based Systems, 2020 - Elsevier
Electric locomotives provide high tractive power for fast acceleration of heavy-haul freight
trains, and significantly reduce the energy consumption with regenerative braking. This …

Optimal guaranteed cost intermittent control to the efficient movement of freight trains

J Hu, Z Ruan, J Mei, B Wang, B Ramatsetse - ISA transactions, 2022 - Elsevier
Freight train system is under constant pressure to optimize operational efficiency, a factor
that has led the sector to spearhead many new technologies. To address this, the optimal …

Multi-objective trajectory optimization for freight trains based on quadratic programming

B Bai, Z **ao, Q Wang, P Sun… - Transportation Research …, 2020 - journals.sagepub.com
The overspeed protection, smooth driving, punctuality, and energy efficiency of freight trains
largely depend on their trajectory optimization. This paper proposes a multi-objective …