Jinghua Guo

ORCID: 0000-0001-9123-6817
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About
Contact & Profiles
Research Areas
  • 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
  • Vehicular Ad Hoc Networks (VANETs)
  • Robotic Path Planning Algorithms
  • Real-time simulation and control systems
  • Vehicle emissions and performance
  • Transportation Planning and Optimization
  • Aeolian processes and effects
  • Traffic Prediction and Management Techniques
  • Digital Media and Visual Art
  • Plant Stress Responses and Tolerance
  • Atmospheric aerosols and clouds
  • Radioactivity and Radon Measurements
  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Greenhouse Technology and Climate Control
  • Luminescence Properties of Advanced Materials
  • Distributed Control Multi-Agent Systems

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...

10.1109/tvt.2019.2907696 article EN IEEE Transactions on Vehicular Technology 2019-03-27

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...

10.1109/tits.2017.2749416 article EN IEEE Transactions on Intelligent Transportation Systems 2017-10-03

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...

10.1105/tpc.114.135095 article EN The Plant Cell 2015-02-19

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...

10.1109/tits.2016.2544791 article EN IEEE Transactions on Intelligent Transportation Systems 2016-04-21

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,...

10.1080/00423114.2018.1475677 article EN Vehicle System Dynamics 2018-05-22

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...

10.1109/tsmc.2019.2950468 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2019-11-12

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...

10.1109/tvt.2012.2201513 article EN IEEE Transactions on Vehicular Technology 2012-05-31

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...

10.1109/tits.2021.3066611 article EN IEEE Transactions on Intelligent Transportation Systems 2021-03-26

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...

10.1080/00423114.2013.811789 article EN Vehicle System Dynamics 2013-06-28

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...

10.1109/tii.2022.3206354 article EN IEEE Transactions on Industrial Informatics 2022-09-13

Digital twins in vehicle-in-the-loop (VIL) test has great practical significance for the functional development, testing and evaluation of intelligent vehicle. The study about credibility assessment dynamically evolving models still lacks effective approaches. In addition, it rarely been studied automotive tests. this paper, a closed loop dynamic virtual real-world interaction was built, its characteristics are also analyzed. According to methods, methodology based on information entropy is...

10.3390/s25051372 article EN cc-by Sensors 2025-02-24

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,...

10.1115/1.4030720 article EN Journal of Dynamic Systems Measurement and Control 2015-06-02

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...

10.1109/tmech.2020.3032998 article EN IEEE/ASME Transactions on Mechatronics 2020-10-22
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