A reinforcement iterative learning control method for suppressing interior pressure fluctuations in high-speed trains traversing extreme tunnels
Lu Yang, Chunjun Chen, Boyuan Mu, Mingyu Zou et autres
cn (code pays fourni par la source)
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Lu Yang, Chunjun Chen, Boyuan Mu, Mingyu Zou et autres
cn (code pays fourni par la source)
Boyuan Mu, Chunjun Chen, K. Yin, Lu Yang et autres
cn (code pays fourni par la source)
Lu Yang, Chunjun Chen, K. Yin, Boyuan Mu
When high-speed trains traverse tunnels with characteristics such as high altitude, steep gradients, and substantial lengths, intense tunnel pressure waves are generated. These pressure waves induce pressure fluctuations within the carriage, adversely affecting passenger pressure comfort. However, when trains pass through extra-long …
cn (code pays fourni par la source)
Lu Yang, Maosheng Xia, Yusong Wang, Fang Ding et autres
Foreign objects on railroads contribute to railway accidents. Train driving heavily relies on visual prowess. Drivers must quickly identify and react to these hazards, capabilities that directly impact the safety and efficiency of train operations. As train speeds increase, it becomes increasingly …
cn (code pays fourni par la source)
Zhirong Zhang, Chang Zhao, Yun Su, Baojun Zhang et autres
The Alpine musk deer ( Moschus chrysogaster ), an endangered species with fewer than 200 individuals in fragmented habitats of the Helan mountains, faces pronounced seasonal resource fluctuations. This study investigates seasonal shifts in diet composition, nutrient intake, and tolerance to secondary …
cn (code pays fourni par la source)
Boyuan Mu, Chunjun Chen, Lu Yang
cn (code pays fourni par la source)
Jinfei Ma, Jiahui Sun, Zhuo Shen, Maosheng Xia et autres
cn (code pays fourni par la source)
Beibei Li, Shengzhi Wang, Jingfeng Wang, Boshan Chen et autres
cn (code pays fourni par la source)
Chunjun Chen, Lu Yang, K. Yin, Yaowen Zhang
This paper investigates the problem of tracking morphologically similar targets for nonlinear systems and proposes an adaptive-gain reinforcement iterative learning control (AG-RILC) scheme. Unlike existing control approaches, where gain schemes are predefined before the control process, this study incorporates a reinforcement learning …
cn (code pays fourni par la source)
Lu Yang, Chunjun Chen, Ji Deng, Boyuan Mu et autres
This paper proposes a novel three-dimensional (3D) performance iterative learning control (PILC) scheme on nonlinear systems for tracking varying-scale and morphologically similar targets. The condition and performance weighted K-nearest neighbour (KNN) and the historical database update algorithms are developed to match the …
cn (code pays fourni par la source)
Miao Zou, Chunjun Chen, Lu Yang
As an electric multiple unit (EMU) train passes through an extreme tunnel characterized by high altitude, steep gradient, and extended lengths, the pressure waves generated by the train–tunnel aerodynamic coupling combine with the baseline pressure variations within the tunnel. This interaction results …
cn (code pays fourni par la source)
Chao He, Chaoqing Huang, Ping Zhang, Qian Wu et autres
cn, cz, kr, de, nl (code pays fourni par la source)
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