A5100765832- Vehicle Dynamics and Control Systems
- Autonomous Vehicle Technology and Safety
- Real-time simulation and control systems
- Mechanical Engineering and Vibrations Research
- Electric and Hybrid Vehicle Technologies
- Hydraulic and Pneumatic Systems
- Traffic control and management
- Simulation and Modeling Applications
- Industrial Technology and Control Systems
- Soil Mechanics and Vehicle Dynamics
- Advanced machining processes and optimization
- Robotic Path Planning Algorithms
- Advanced Machining and Optimization Techniques
- Fault Detection and Control Systems
- Vehicle emissions and performance
- Advanced Sensor and Control Systems
- Traffic and Road Safety
- Automotive and Human Injury Biomechanics
- Human-Automation Interaction and Safety
- Video Surveillance and Tracking Methods
- Robotics and Sensor-Based Localization
- Tunneling and Rock Mechanics
- Effects of Vibration on Health
- Advanced Vision and Imaging
- Injection Molding Process and Properties
Hefei University of Technology
2014-2025
Xiangtan University
2023-2025
Central South University
2025
Shandong University
2024
Second Hospital of Shandong University
2023-2024
Shandong Center for Disease Control and Prevention
2024
Shanghai Jiao Tong University
2024
Soochow University
2023
First Bethune Hospital of Jilin University
2023
State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System
2017-2022
Abstract Background Neoadjuvant chemotherapy (NAC) has become a standard treatment strategy for breast cancer (BC). However, owing to the high heterogeneity of these tumors, it is unclear which patient population most likely benefit from NAC. Multi-omics offer an improved approach uncovering genomic and transcriptomic changes before after NAC in BC identifying molecular features associated with sensitivity. Methods We performed whole-exome RNA sequencing on 233 samples (including matched...
Pituitary neuroendocrine tumors (PitNETs) are common gland neoplasms demonstrating distinctive transcription factors. Although the role of immune cells in PitNETs has been widely recognized, precise immunological environment and its control over tumor poorly understood. The heterogeneity, spatial distribution, clinical significance macrophages were analyzed using single-cell RNA sequencing (scRNA-seq), bulk RNA-seq, transcriptomics, immunohistochemistry, multiplexed quantitative...
Estimating vehicle sideslip angle and road friction in real time is of great significance for stability control intelligent lateral control. These parameters are often difficult to obtain directly the high cost measuring instruments restricts their application general Therefore, an estimation method based on online gradient descent (OGD) algorithm proposed. For front-wheel-steer front-wheel-drive vehicle, vehicle's dynamics model established with smaller assumptions. And unknown input...
Model predictive control is one of the main methods used in path tracking for autonomous vehicles. To improve performance vehicle, a method based on model with variable horizon proposed this paper. Based designed controller tracking, response analysis system under different horizons carried out to clarify influence accuracy, driving comfort and real-time algorithm. Then, taking lateral offset, steering frequency algorithm as comprehensive indexes, particle swarm optimization realize adaptive...
A clutch control strategy is proposed to improve the shift quality of power transmission and solve cycle phenomenon in shifting process. The effectively avoids by analyzing change torque relationship between rotating speed driving driven disks a clutch. evaluation indexes are sliding friction loss, impact degree, oscillation amplitude. Particle swarm optimization (PSO), combined with genetic algorithm, used optimize transmission, solving problem which basic PSO frequently converges local...
Inaccurate measurements of vehicular distance can significantly disrupt the decision-making intelligent vehicles, potentially leading to accidents such as collisions on slope roads. Existing ranging methods fail accurately measure This paper proposes an optimized approach address this challenge. Initially, a observer is developed using vanishing point determine position vehicle and calculate angle. An observation model then created based slope’s geometry distance. Furthermore, enhanced...
Recent advances in hierarchical policy learning highlight the advantages of decomposing systems into high-level and low-level agents, enabling efficient long-horizon reasoning precise fine-grained control. However, interface between these hierarchy levels remains underexplored, existing methods often ignore domain symmetry, resulting need for extensive demonstrations to achieve robust performance. To address issues, we propose Hierarchical Equivariant Policy (HEP), a novel framework. We...
Aiming at the problem that traditional visual and radar methods are easily interfered by dynamic changes of environment have insufficient accuracy in identification complex soft muddy pavements, a pavement method based on online estimation soil mechanical characteristic parameters is proposed. By analyzing sensitivity wheel-ground coupling force to parameters, dominant screened for identification, rest simplified empirical values; triangular approximation adopted deal with stress expression,...
Many tire-road friction coefficient estimation methods require the wheel angular speed sensor to provide a signal. In this paper, algorithm for distributed drive electric vehicles using permanent magnet synchronous motors(PMSM) sensorless control is proposed reduce use of sensors. The signal replaced by rotor obtained from PMSM control. First, three degrees freedom vehicle dynamics model and mathematical are established, strong tracking cubature Kalman filtering based on orthogonal...
To accurately obtain the state parameter information of a vehicle, square root generalized high-order cubature Kalman filter (CKF) estimation algorithm based on atomic search optimization (ASO-SRGHCKF) is proposed. On basis CKF, using rule instead cumbersome spherical rule, algorithm's weights and points are calculated directly. Then, filtering technology introduced, CKF (SRGHCKF) derived by replacing Cholesky decomposition with orthogonal triangle (QR) decomposition. lessen estimate error...
This paper addresses the prognosis problem for hybrid systems with intermittent faults and uncertain parameters. First, a diagnostic bond graph in linear fractional form is used to model system generate mode-dependent adaptive thresholds fault detection purpose. Then, global combinative signature matrix integrating independent dependent augmented analytical redundancy relations proposed improve isolability under multiple-fault condition. After possible set isolated, an reinforcement...
The control goal of the vehicle platoon is to maintain same speed and desired distance. Most current studies are based on simplified models, leader’s state also rarely considered. However, under complex working conditions, such as low adhesion or curves, lateral stability will be difficult guarantee, tracking errors spacing may further increase. To solve above problems, a new hierarchical coordinated strategy proposed. Taking distributed drive electric vehicles (DDEVs) research objects,...