Boyuan Mu

Local dynamic airtightness of high-speed railway trains: An innovative definition and its evaluation method design

Yutao Xia, Chunjun Chen, Xiaopeng Wang, Boyuan Mu et autres

cn (code pays fourni par la source)

Preference-conditioned multi-objective reinforcement learning for train carriage environment control

Boyuan Mu, Chunjun Chen, Lingwei Fei, Yutao Xia et autres

cn (code pays fourni par la source)

Energy-Guided Curriculum Reinforcement Learning for Interior Pressure Control in High-Speed Trains

Boyuan Mu, Chunjun Chen, Yutao Xia

Tunnel-induced pressure waves in high-speed trains can cause ear discomfort, and rule-based pressure control struggles to balance comfort and ventilation across routes. We address this problem with a deep reinforcement learning controller that combines soft actor-critic (SAC) with an energy-guided curriculum to …

cn (code pays fourni par la source)

A multi-objective reinforcement learning optimization method for interior desired pressure in plateau oxygen-supply trains under extreme tunnel conditions

Lu Yang, C.D. Chen, Xin-Hua Xiang, Boyuan Mu et autres

cn (code pays fourni par la source)

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)

Interior pressure control in high-speed trains via curriculum SAC: Simulation and experimental validation

Boyuan Mu, Chunjun Chen, K. Yin, Lu Yang et autres

cn (code pays fourni par la source)

Reinforcement learning control of interior pressure variations in high-speed trains traversing tunnels

Yang Lu, Chunjun Chen, Miao Zou, Boyuan Mu et autres

When a high-speed train navigates a tunnel, violent tunnel pressure waves are generated. These pressure waves are transmitted into the vehicle through the air ducts, car body deformation, and airtight gaps, inducing interior pressure variations and causing passenger ear discomfort. The traditional …

cn (code pays fourni par la source)

Experimental investigation of tunnel pressure wave simulation system for high-speed trains

Lu Yang, Chunjun Chen, Miao Zou, Boyuan Mu et autres

When a high-speed train navigates an extra-long tunnel with a steep gradient, it generates intense tunnel pressure waves. These tunnel pressure waves are transmitted into the vehicle, causing interior pressure variations in the compartment, making passenger comfort challenging. In addition, it is …

cn (code pays fourni par la source)

A parameter-optimized reinforcement iterative learning control method for enhancing passenger pressure comfort and air quality in high-speed trains traversing extreme tunnels

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)

Model of interior pressure fluctuation in high-speed trains considering the dynamic characteristics of variable air volume systems

Boyuan Mu, Chunjun Chen, Lu Yang

cn (code pays fourni par la source)

Performance iterative learning control on nonlinear systems for tracking varying-scale and morphologically similar targets

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)

Near‐Infrared Artificial Synapses for Artificial Sensory Neuron System

Boyuan Mu, Liangchao Guo, Junhong Liao, Peng Xie et autres

The computing based on artificial neuron network is expected to break through the von Neumann bottleneck of traditional computer, and to greatly improve the computing efficiency, displaying a broad prospect in the application of artificial visual system. In the specific structural layout, …

cn (code pays fourni par la source)