A5003318831- Vehicle Dynamics and Control Systems
- Traffic control and management
- Autonomous Vehicle Technology and Safety
- Electric and Hybrid Vehicle Technologies
- Atmospheric chemistry and aerosols
- Control and Dynamics of Mobile Robots
- Air Quality and Health Impacts
- Chinese history and philosophy
- Translation Studies and Practices
- Traffic Prediction and Management Techniques
- Robotic Path Planning Algorithms
- Vehicular Ad Hoc Networks (VANETs)
- Vehicle emissions and performance
- Advanced Neural Network Applications
- Transportation Planning and Optimization
- Real-time simulation and control systems
- Aeolian processes and effects
- Digital Media and Visual Art
- Plant Stress Responses and Tolerance
- Atmospheric aerosols and clouds
- Video Surveillance and Tracking Methods
- Radioactivity and Radon Measurements
- Industrial Technology and Control Systems
- Atmospheric and Environmental Gas Dynamics
- Literature, Language, and Rhetoric Studies
Xiamen University of Technology
2024-2025
Xiamen University
2016-2025
Beijing Normal University
2008-2024
Hebei Academy of Agriculture and Forestry Sciences
2009-2024
Tsinghua University
2013-2023
Hangzhou Normal University
2019
Purdue University West Lafayette
2013-2014
Dalian University of Technology
2011-2013
Mongolian University of Science and Technology
2013
Northwest Women's and Children's Hospital
2012
This paper investigates the path-tracking control issue for autonomous ground vehicles with integral sliding mode (ISMC) considering transient performance improvement. The is converted into yaw stabilization problem, where sideslip-angle compensation adopted to reduce steady-state errors, and then yaw-rate reference generated purpose. lateral velocity roll angle are estimated measurement of rate rate. Three contributions have been made in this paper: first, enhance estimation accuracy...
Abstract Catalases are key regulators of reactive oxygen species homeostasis in plant cells. However, the regulation catalase activity is not well understood. In this study, we isolated an Arabidopsis thaliana mutant, no activity1-3 (nca1-3) that hypersensitive to many abiotic stress treatments. The mutated gene was identified by map-based cloning as NCA1, which encodes a protein containing N-terminal RING-finger domain and C-terminal tetratricopeptide repeat-like helical domain. NCA1...
This paper deals with the trajectory following control problem of a class autonomous vehicles parametric uncertainties, external disturbances, and over-actuated features. A novel adaptive hierarchical framework is proposed to supervise lateral motion four-wheel independent drive electric vehicles. First, an sliding mode high-level law linear matrix inequality-based switching surface designed produce vector front steering angle yaw moment, in which uncertain term gain are adaptively regulated...
This paper discusses dynamic control design for automated driving of vision-based autonomous vehicles, with a special focus on the coordinated steering and braking in emergency obstacle avoidance. An vehicle is complex multi-input multi-output (MIMO) system, which possesses features parameter uncertainties strong nonlinearities, coupled phenomena longitudinal lateral dynamics are evident combined cornering maneuver. In this work, an effective system proposed to deal these nonlinear reject...
This article investigates the integrated lane-keeping and roll control for autonomous ground vehicles (AGVs) considering transient performance system disturbances. The robust integral of sign error (RISE) strategy is proposed to achieve purpose with rollover prevention, by guaranteeing asymptotic stability closed-loop system, attenuating systematic disturbances, maintaining controlled states within prescribed boundaries. Three contributions have been made in this article: 1) a new function...
In this paper, an efficient strategy is proposed to design the automatic steering controller for trajectory tracking of unmanned vehicles, which robust with respect inherent nonlinearities and uncertainties vehicles. The consists a feedback part feedforward part. First, fuzzy as part, parameters membership functions rules are optimized by genetic algorithms (GAs) guarantee high performance. Then, designed assist when vehicle engaged in curved section trajectory, utilizes preview information...
Owing to the fact that unmanned ground vehicles have features of time-varying, parametric uncertainties and external disturbances, this paper mainly studies robust automatic steering control vehicles. Firstly, a linear parameter varying lateral model for vehicle is constructed, in which longitudinal velocity represented by polytope with finite vertices. Secondly, gain scheduling scheme based on matrix inequality technique proposed deal characteristics time-varying disturbances. Finally,...
Intelligent electric vehicles (IEVs) have attracted more and attention benefitting from the characteristics of high degree safety energy efficiency. This paper proposes an adaptive cruise control framework considering regenerative braking to improve efficiency IEVs during car-following process. At first, a coupled nonlinear dynamic model system is constructed, which mainly composed powerful battery, motor, single-speed transmission, hydraulic system. Then, fuzzy sliding mode high-level...
Lateral control is considered to be one of the toughest challenges in development automated vehicles due their features nonlinearities, parametric uncertainties and external disturbances. In order overcome these difficulties, an adaptive fuzzy-sliding mode strategy used for lateral vision-based proposed this paper. First, a vision algorithm designed provide accurate location information vehicle relative reference path. Then, controller counteract strong asymptotic stability closed-loop...
As one of the typical applications cyberphysical system (CPS), autonomous vehicles (AVs) are vulnerable to malicious disturbance from cyberattacks while tracking desired path. This article focuses on CPS-based path control problem AVs under cyberattacks. First, nonlinear state and measurement equations established based vehicle dynamics model. Second, improve robustness against cyberattacks, sensor redundancy is introduced. A cyberattack detection method designed by using extended Kalman...
Due to the features of strong nonlinearity and hybrid driving with multipower sources, a novel deep reinforcement learning (DRL)-based hierarchical energy control architecture is presented for group connected electric vehicles (HEVs) in platoon through cloud platform. First, higher-level model predictive (MPC) law designed determine desired acceleration HEVs platoon. Second, reward function change state charge (SOC) instantaneous fuel consumption as independent variables constructed, expert...
This paper presents a systematic method on how to design the coordinated lateral and longitudinal motion control system of autonomous four wheel drive (4WD) electric vehicles for platooning trajectory tracking. First, mathematical models that perfectly describe behaviors 4WD are built-up, coupled effects in vehicle dynamic systems given. Second, owing fact large-scale with strong coupling, nonlinearities, uncertainties, novel multi-objective hierarchical architecture used is constructed,...
This article presents a Takagi-Sugeno (T-S) fuzzy-based robust H∞ integrated lane-keeping (LKS) and direct yaw moment control (DYC) system to improve the automatic driving performance of unmanned electric vehicles. First, T-S fuzzy lateral model vehicles is constructed, in which cornering stiffness uncertainties, external disturbance, time varying look-ahead distance, longitudinal velocity are considered. Second, an LKS DYC constructed handle time-varying features, parametric overactuated...
Road scene understanding is crucial to the safe driving of autonomous vehicles. Comprehensive road requires a visual perception system deal with large number tasks at same time, which needs model small size, fast speed, and high accuracy. As multi-task learning has evident advantages in performance computational resources, this paper, YOLO-Object, Drivable Area, Lane Line Detection (YOLO-ODL) based on hard parameter sharing proposed realize joint efficient detection traffic objects, drivable...