Kanchana Thilakarathna - IEEE Xplore Author Profile

Scheduled Maintenance on Monday 1/13/2025

Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Access provided by:

MIT Libraries

Access provided by:

MIT Libraries

ADVANCED SEARCH

Author details

Kanchana Thilakarathna

Also published under: K. Thilakarathna

Publications

37

Citations

910

Publications by Year

20112025

Co-Authors:

Abdul Alim Abd KarimMohamed AfhamH. M. N. Dilum BandaraNiruth BogahawattaJagmohan Chauhan

Show All Co-Authors (79)

Kanchana Thilakarathna

Also published under: K. Thilakarathna

Affiliation

University of Sydney

Sydney

NSW, Australia

Publication Topics

Convolutional Neural Network,
Federated Learning,
Client Group,
Cloud Computing,
Communication Resources,
Complex Communication,
Device Identification,
Edge Server,
Hash Function,
Model Aggregation,
Raspberry Pi,
Scalable

Biography

Kanchana Thilakarathna received the Ph.D. degree in electrical engineering and telecommunications from the University of New South Wales, Australia. He is currently a Lecturer in distributed computing, and a member of the Centre for Distributed and High-Performance Computing, School of Information Technologies, The University of Sydney. His research interests include network and device function virtualization, the Internet of Things, cybersecurity and privacy, mobile networks, and augmented/mixed reality.(Based on document published on 6 March 2019).

Publications

37

Citations

910

Publications by Year

20112025

Co-Authors:

Abdul Alim Abd Karim
Mohamed Afham
H. M. N. Dilum Bandara
Niruth Bogahawatta
Jagmohan Chauhan

Show All Co-Authors (79)

Author's Published Works

Search History

Showing 1-25 of 64 results

Journals (51)

Early Access Articles (7)

Conferences (6)

Sort

Filter Results

Show

Subscribed Content

Open Access Only

Range
Single Year
Wanzhong Zhao(64)
Chunyan Wang(46)
Han Zhang(15)
Zhongkai Luan(11)
Can Xu(11)
Department of Vehicle Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China(32)
College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China(10)
Department of Vehicle Engineering and Jiangsu Engineering Research Center of Vehicle Distributed Drive and Intelligent Wire Control Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China(6)
School of Material Science and Engineering, Nanjing University of Science and Technology, Nanjing, China(2)
School of Mechanical Engineering, Southeast University, Nanjing, China(2)
IEEE Transactions on Transportation Electrification(13)
IEEE Transactions on Vehicular Technology(13)
IEEE Transactions on Intelligent Transportation Systems(11)
IEEE Transactions on Intelligent Vehicles(6)
IEEE Sensors Journal(5)
IEEE(64)
Beijing, China(1)
Changsha, China(1)
Chongqing, China(1)
Nanjing, China(1)
Tianjin, China(1)
Yaw Rate(25)
Control Strategy(20)
Model Predictive Control(18)
Steering Angle(16)
Autonomous Vehicles(14)

Select All on Page

Sort By

Results

Coordinated tracking control of the integrated wheel-end system based on generalized instantaneous steering center constraint

Zhongkai Luan;Wanzhong Zhao;Chunyan Wang

IEEE Transactions on Transportation Electrification

Year: 2025 | Early Access Article |

Compared to traditional chassis systems, the integrated wheel end (IWE) offers independent control of each wheel, but network delays in the CAN system challenge its high-precision cooperative tracking control. Therefore, this work proposes a coordinated tracking control strategy for the IWE system based on a generalized instantaneous steering center (ISC) constraint. Firstly, the model of controll...Show More

Coordinated tracking control of the integrated wheel-end system based on generalized instantaneous steering center constraint

Zhongkai Luan;Wanzhong Zhao;Chunyan Wang

IEEE Transactions on Transportation Electrification

Year: 2025 | Early Access Article |

Dynamic Equilibrium Strategy for Road Sensing Systems Considering Open Circuit Faults in DTP-PMSM

Haoyu Sun;Wanzhong Zhao;Chunyan Wang;Zhongkai Luan;Weihe Liang;Xiaochuan Zhou;Ziyu Zhang;Yukai Chu;Jinwei Wu;Jiayi Xu;Heng Huang

IEEE Transactions on Intelligent Transportation Systems

Year: 2025 | Early Access Article |

We will apply dual three-phase permanent magnet synchronous motors (DTP-PMSM) to the road sensing unit of the steer-by-wire system to improve redundancy and fault tolerance performance, meeting the requirements of intelligent transportation systems. However, open circuit faults inevitably lead to periodic torque ripple, parameter mismatch, and current harmonics, which pose a huge threat to drivers...Show More

Dynamic Equilibrium Strategy for Road Sensing Systems Considering Open Circuit Faults in DTP-PMSM

Haoyu Sun;Wanzhong Zhao;Chunyan Wang;Zhongkai Luan;Weihe Liang;Xiaochuan Zhou;Ziyu Zhang;Yukai Chu;Jinwei Wu;Jiayi Xu;Heng Huang

IEEE Transactions on Intelligent Transportation Systems

Year: 2025 | Early Access Article |

A Multi-Vehicle Self-Organized Cooperative Control Strategy for Platoon Formation in Connected Environment

Mengqi Zhang;Chunyan Wang;Wanzhong Zhao;Jinqiang Liu;Ziyu Zhang

IEEE Transactions on Intelligent Transportation Systems

Year: 2025 | Volume: 26, Issue: 3 | Journal Article |

HTML

Aiming at the problem of low merging efficiency, poor platoon stability, and high collision risk when multiple connected and automated vehicles merge into the same target platoon, we propose a multi-vehicle self-organized cooperative control strategy for platoon formation, which includes vehicle self-organizing formation control and platoon cooperative merging control. The vehicle self-organizing ...Show More

A Multi-Vehicle Self-Organized Cooperative Control Strategy for Platoon Formation in Connected Environment

Mengqi Zhang;Chunyan Wang;Wanzhong Zhao;Jinqiang Liu;Ziyu Zhang

IEEE Transactions on Intelligent Transportation Systems

Year: 2025 | Volume: 26, Issue: 3 | Journal Article |

Adaptive Haptic Assistance Control Considering Individual Driver’s Arm Characteristics

Han Zhang;Yuanhao Li;Wanzhong Zhao;Weimei Quan;Chunyan Wang

IEEE Transactions on Intelligent Transportation Systems

Year: 2025 | Volume: 26, Issue: 3 | Journal Article |

HTML

To improve the overall performance of human-vehicle cooperation and enhance the drivers’ confidence in the advanced driver assistance system (ADAS), an adaptive haptic assistance control scheme for the steer-by-wire (SBW) vehicle is presented in this paper. A comprehensive human-vehicle system model is built, including vehicle dynamics, the SBW model, and the driver’s arm neuromuscular dynamics mo...Show More

Adaptive Haptic Assistance Control Considering Individual Driver’s Arm Characteristics

Han Zhang;Yuanhao Li;Wanzhong Zhao;Weimei Quan;Chunyan Wang

IEEE Transactions on Intelligent Transportation Systems

Year: 2025 | Volume: 26, Issue: 3 | Journal Article |

Interval Type-2 T-S Fuzzy Robust Anti-Lock Braking Control for Electro-Mechanical Braking System Considering Road Uncertainty and Input Delay

Linfeng Lv;Wanzhong Zhao;Jinyu Zhou;Chunyan Wang;Xiaochuan Zhou

IEEE Transactions on Intelligent Transportation Systems

Year: 2025 | Early Access Article |

The electro-mechanical braking (EMB) system, known for its integration and intelligence, is considered an ideal actuator for vehicles. However, accurate slip ratio tracking is hindered by uncertainties in the road adhesion coefficient and communication delays, which adversely affect anti-lock braking performance. This study proposes an interval type-2 Takagi-Sugeno (IT2 T-S) fuzzy robust $H_{\math...Show More

Interval Type-2 T-S Fuzzy Robust Anti-Lock Braking Control for Electro-Mechanical Braking System Considering Road Uncertainty and Input Delay

Linfeng Lv;Wanzhong Zhao;Jinyu Zhou;Chunyan Wang;Xiaochuan Zhou

IEEE Transactions on Intelligent Transportation Systems

Year: 2025 | Early Access Article |

Coordination Control for Path Tracking and Stability of 4WS-4WID Automated Vehicles: A Game Theory-Based Approach

Yuanlong Wang;Guanying Chen;Hengtao Jiang;Jiaqing Zhou;Tong Zhang;Guan Zhou;Chunyan Wang;Wanzhong Zhao

IEEE Transactions on Vehicular Technology

Year: 2025 | Early Access Article |

Aiming at the multi-objective control problem of tracking accuracy and stability in the path tracking process of automated vehicles, a novel coordination control strategy for path tracking and stability of four-wheel steering and four-wheel independent driving (4WS-4WID) automated vehicles is proposed in this paper. The proposed control framework consists of a game theory-based upper controller an...Show More

Coordination Control for Path Tracking and Stability of 4WS-4WID Automated Vehicles: A Game Theory-Based Approach

Yuanlong Wang;Guanying Chen;Hengtao Jiang;Jiaqing Zhou;Tong Zhang;Guan Zhou;Chunyan Wang;Wanzhong Zhao

IEEE Transactions on Vehicular Technology

Year: 2025 | Early Access Article |

T-S Fuzzy Tube Model Prediction Trajectory Tracking Control of Automatic Truck With Network Delay and Variable Load

Senhao Zhang;Chunyan Wang;Wanzhong Zhao;Weihe Liang;Min Wang;Zhongkai Luan;Kunhao Xu;Yufu Liang

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

HTML

The trajectory tracking performance is the foundation for self-driving trucks. To address the effects of communication delay and load variation on the trajectory tracking accuracy of automatic trucks, this article proposes a T-S fuzzy tube model prediction trajectory tracking control strategy. It includes the T-S fuzzy extended observer and the adaptive tube model prediction control. The T-S fuzzy...Show More

T-S Fuzzy Tube Model Prediction Trajectory Tracking Control of Automatic Truck With Network Delay and Variable Load

Senhao Zhang;Chunyan Wang;Wanzhong Zhao;Weihe Liang;Min Wang;Zhongkai Luan;Kunhao Xu;Yufu Liang

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

Multidisciplinary Optimization Design of Electric Vehicle X-by-Wire Chassis Integrating Parameter Coupling and Uncertainties

Xiaochuan Zhou;Wanzhong Zhao;Chunyan Wang;Yunqi Wang;Yukai Chu

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

Cited by: Papers (1)

HTML

X-by-wire chassis plays an important role in intelligent vehicle motion control. However, the traditional deterministic optimization method is difficult to achieve the global optimal and robust comprehensive performance of the chassis due to the multidisciplinary coupling relationship and uncertainties among steering, suspension, and drive subsystems. This article proposed a multidisciplinary opti...Show More

Multidisciplinary Optimization Design of Electric Vehicle X-by-Wire Chassis Integrating Parameter Coupling and Uncertainties

Xiaochuan Zhou;Wanzhong Zhao;Chunyan Wang;Yunqi Wang;Yukai Chu

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

Steering Instantaneous Center Synchronization Tracking Control Strategy Considering Multiple Time Delays

Jinwei Wu;Xiaochuan Zhou;Wanzhong Zhao;Chunyan Wang;Bo Zhang;Weihe Liang

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

HTML

The four-wheel independent steering system (4WIS) has four steering angle modules, which independently control the steering angle of the modules to make vehicle trajectory tracking more accurate. However, the tracking performance of a single steering angle module is degraded due to input and state time delays, while the communication time delay among the four steering angle modules causes the stee...Show More

Steering Instantaneous Center Synchronization Tracking Control Strategy Considering Multiple Time Delays

Jinwei Wu;Xiaochuan Zhou;Wanzhong Zhao;Chunyan Wang;Bo Zhang;Weihe Liang

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

Fault Tolerant Control of 4WIS Based on Failure Event Triggering and Self-Reconstruction Model

Jinwei Wu;Wanzhong Zhao;Bo Zhang;Chunyan Wang;Zhongkai Luan

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

HTML

When traditional steer by wire (SBW) faults, vehicle loss of control can lead to serious safety accidents. The four-wheel independent steering system (4WIS) still has steering control capability in the fault situation. However, current research on four-wheel steering system (4WS) fault-tolerant control has overlooked the changes in wheel force after failure fault, resulting in severe shaking and f...Show More

Fault Tolerant Control of 4WIS Based on Failure Event Triggering and Self-Reconstruction Model

Jinwei Wu;Wanzhong Zhao;Bo Zhang;Chunyan Wang;Zhongkai Luan

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

Compound Disturbance Suppression Strategy for Steer-by-Wire System With Permanent Magnet Synchronous Motor

Haoyu Sun;Chunyan Wang;Wanzhong Zhao

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

HTML

Compound disturbances in steer-by-wire (SbW) include non-periodic disturbances in the mechanical system and periodic torque ripple in the permanent magnet synchronous motor (PMSM). Compound disturbances lead to degradation of control accuracy and robustness, with repeated deviations in tracking accuracy. Moreover, according to the time-varying conditions of SbW, the frequency of periodic disturban...Show More

Compound Disturbance Suppression Strategy for Steer-by-Wire System With Permanent Magnet Synchronous Motor

Haoyu Sun;Chunyan Wang;Wanzhong Zhao

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

Tube-Based Cooperative Robust Control for Distributed Drive Electric Vehicles Suffering Actuator Faults

Xiang Chen;Rui Jiang;Wanzhong Zhao;Chunyan Wang

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

HTML

To effectively assist drivers to track the desired path and maintain vehicle stability in the event of different actuator failures, this article proposes a tube-based cooperative robust controller for distributed drive electric vehicles (DDEVs). A composite model, including 3-DoF vehicle dynamic model equipped with five actuators and vehicle kinematics, is first established for the controller desi...Show More

Tube-Based Cooperative Robust Control for Distributed Drive Electric Vehicles Suffering Actuator Faults

Xiang Chen;Rui Jiang;Wanzhong Zhao;Chunyan Wang

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

Energy-Efficient Hierarchical On-Ramp Merging Control for Autonomous Electric Vehicles

Jinqiang Liu;Chunyan Wang;Wanzhong Zhao;Ziyu Zhang

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

Cited by: Papers (1)

HTML

On-ramps are typical bottleneck roads that can easily result in additional energy consumption for electric vehicles. Energy consumption can be effectively reduced by optimizing the merging trajectory, but powertrain efficiency, constraint, and regenerative braking need also be considered. This article proposes an energy-efficient hierarchical on-ramp merging control strategy (EHOMCS) for autonomou...Show More

Energy-Efficient Hierarchical On-Ramp Merging Control for Autonomous Electric Vehicles

Jinqiang Liu;Chunyan Wang;Wanzhong Zhao;Ziyu Zhang

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

The Design and Stable Delay Range Analysis of TD-H₂/H∞ Controller for SbW Systems

Bo Zhang;Chunyan Wang;Wanzhong Zhao;Yubo Lian;Han Zhang

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

HTML

With the advancement of X-by-wire chassis technology, the number of controller area network (CAN) bus-mounted nodes in steering-by-wire (SbW) vehicles has increased, resulting in an increase of input time delay (ITD) in the SbW system’s control input. When the maximum ITD (MITD) exceeds the ITD critical value (ITD-CV) that the SbW controller can tolerate, the SbW system would diverge, causing a ma...Show More

The Design and Stable Delay Range Analysis of TD-H₂/H∞ Controller for SbW Systems

Bo Zhang;Chunyan Wang;Wanzhong Zhao;Yubo Lian;Han Zhang

IEEE Transactions on Transportation Electrification

Year: 2025 | Volume: 11, Issue: 1 | Journal Article |

Reinforcement Learning for Human-Machine Cooperative Control: Enhancing Stability and Antirollover with Commercial Vehicle

Han Zhang;Liaoyang Zhan;Wanzhong Zhao;Kaihua Liu

2024 8th CAA International Conference on Vehicular Control and Intelligence (CVCI)

Year: 2024 | Conference Paper |

HTML

Safety issues in commercial vehicles have consistently been a focal point of research, with yaw stability control and anti-rollover control being particularly critical. To enhance the yaw stability and anti-rollover capabilities of commercial vehicles operated by drivers with varying driving styles, this paper proposes a human-machine cooperative control strategy based on the Deep Deterministic Po...Show More

Reinforcement Learning for Human-Machine Cooperative Control: Enhancing Stability and Antirollover with Commercial Vehicle

Han Zhang;Liaoyang Zhan;Wanzhong Zhao;Kaihua Liu

2024 8th CAA International Conference on Vehicular Control and Intelligence (CVCI)

Year: 2024 | Conference Paper |

An Event-Triggered Steering Angle Collaborative Control Strategy for the Four-Wheel Independent Steering System

Zhongkai Luan;Kunhao Xu;Wanzhong Zhao;Chunyan Wang;Jinyu Zhou

IEEE Transactions on Vehicular Technology

Year: 2024 | Early Access Article |

The four-wheel independent steering(4WIS) system has the characteristic of wholly independent and controllable fourwheel steering angles. It can achieve new modes such as wedge driving (with the same four-wheel steering angle) or even lateral driving (with all four-wheel steering angles of 90 degrees) through four-wheel steering angle coordination, making its stability judgment and control method ...Show More

An Event-Triggered Steering Angle Collaborative Control Strategy for the Four-Wheel Independent Steering System

Zhongkai Luan;Kunhao Xu;Wanzhong Zhao;Chunyan Wang;Jinyu Zhou

IEEE Transactions on Vehicular Technology

Year: 2024 | Early Access Article |

Complex Road Recognition CNN Network Based on Multi-Label Learning

Haoxiang Gan;Han Zhang;Wanzhong Zhao;Yuhan Liu

2024 IEEE 22nd International Conference on Industrial Informatics (INDIN)

Year: 2024 | Conference Paper |

HTML

The road information preceding the vehicle serves as a fundamental prerequisite for intelligent driving systems. In comparison to other data requirements of autonomous vehicles, road information exhibits a more two-dimensional character. Among the array of sensors currently equipped on autonomous vehicles, it is only the visual sensors that possess the capability to detect and interpret the road s...Show More

Complex Road Recognition CNN Network Based on Multi-Label Learning

Haoxiang Gan;Han Zhang;Wanzhong Zhao;Yuhan Liu

2024 IEEE 22nd International Conference on Industrial Informatics (INDIN)

Year: 2024 | Conference Paper |

Instantaneous Center of Rotation Tracking Control of Four-Wheel Independent Steering Vehicles Under Large-Curvature Turning Conditions

Yukai Chu;Chunyan Wang;Xiaochuan Zhou;Ziyu Zhang;Wanzhong Zhao

IEEE Transactions on Intelligent Transportation Systems

Year: 2024 | Volume: 25, Issue: 11 | Journal Article |

HTML

Compared with other steering systems, Four-Wheel Independent Steering (4WIS) can control not only yaw motion but also their unique side-move motion to provide intelligent vehicles with stronger trajectory tracking capabilities. However, existing 4WIS wheel angle control often aims at zeroing the sideslip angle of the Center of Gravity (CoG), which inhibits the unique side-move motion of 4WIS vehic...Show More

Instantaneous Center of Rotation Tracking Control of Four-Wheel Independent Steering Vehicles Under Large-Curvature Turning Conditions

Yukai Chu;Chunyan Wang;Xiaochuan Zhou;Ziyu Zhang;Wanzhong Zhao

IEEE Transactions on Intelligent Transportation Systems

Year: 2024 | Volume: 25, Issue: 11 | Journal Article |

Event-Triggered Adaptive Fuzzy Switching Fault-Tolerant Control of Dual-Motor Steer-by-Wire System Considering Load Fluctuation and Limited Communication Bandwidth

Kunhao Xu;Chunyan Wang;Wanzhong Zhao;Zhongkai Luan;Weihe Liang;Senhao Zhang;Ziyu Zhang

IEEE Transactions on Fuzzy Systems

Year: 2024 | Volume: 32, Issue: 7 | Journal Article |

HTML

In order to promote the safety redundancy of steer-by-wire system, a dual-motor steer-by-wire (DMSBW) system is designed in this article. However, when one of the steering motors fails seriously, the vehicle's angle tracking performance is affected, which is exacerbated by load fluctuation and limited CAN communication bandwidth in the control system. Therefore, we innovatively establish DMSBW swi...Show More

Event-Triggered Adaptive Fuzzy Switching Fault-Tolerant Control of Dual-Motor Steer-by-Wire System Considering Load Fluctuation and Limited Communication Bandwidth

Kunhao Xu;Chunyan Wang;Wanzhong Zhao;Zhongkai Luan;Weihe Liang;Senhao Zhang;Ziyu Zhang

IEEE Transactions on Fuzzy Systems

Year: 2024 | Volume: 32, Issue: 7 | Journal Article |

Adaptive Robust Federal Kalman Filter for Multisensor Fusion Positioning Systems of Intelligent Vehicles

Ziyu Zhang;Xiaochuan Zhou;Chunyan Wang;Wanzhong Zhao;Gang Wu;Tao Jiang;Min Wang

IEEE Sensors Journal

Year: 2024 | Volume: 24, Issue: 10 | Journal Article |

HTML

Multisensor fusion positioning is an important technology for achieving high-precision positioning of intelligent vehicles in complex road scenes. However, the existing fusion positioning algorithms are difficult to guarantee the positioning accuracy and robustness of intelligent vehicles in uncertain abnormal noise interference environments. Therefore, this article proposes an adaptive robust fed...Show More

Adaptive Robust Federal Kalman Filter for Multisensor Fusion Positioning Systems of Intelligent Vehicles

Ziyu Zhang;Xiaochuan Zhou;Chunyan Wang;Wanzhong Zhao;Gang Wu;Tao Jiang;Min Wang

IEEE Sensors Journal

Year: 2024 | Volume: 24, Issue: 10 | Journal Article |

Variable Tube-Based Model Predictive Trajectory Tracking Control Strategy with Adaptive Load for Automatic Truck

Senhao Zhang;Wanzhong Zhao;Chunyan Wang;Weihe Liang;Kunhao Xu;Zhongkai Luan

IEEE Transactions on Intelligent Vehicles

Year: 2024 | Early Access Article |

High-precision trajectory tracking is the basis for achieving safe driving of automatic trucks. However, variable loads can cause changes in vehicle parameters, leading to a severe decline in the tracking accuracy of autonomous trucks. To address this problem, we propose a variable Tube-based model predictive trajectory tracking control strategy with strong robustness to load changes. The variable...Show More

Variable Tube-Based Model Predictive Trajectory Tracking Control Strategy with Adaptive Load for Automatic Truck

Senhao Zhang;Wanzhong Zhao;Chunyan Wang;Weihe Liang;Kunhao Xu;Zhongkai Luan

IEEE Transactions on Intelligent Vehicles

Year: 2024 | Early Access Article |

Performance-Guaranteed Adaptive Switching Fault-Tolerant Control of Steer-by-Wire System Considering Actuator Fault and Load Disturbance

Kunhao Xu;Xiaochuan Zhou;Wanzhong Zhao;Chunyan Wang;Zhongkai Luan;Weihe Liang;Senhao Zhang;Jinqiang Liu

IEEE Transactions on Transportation Electrification

Year: 2024 | Volume: 10, Issue: 4 | Journal Article |

Cited by: Papers (2)

HTML

In order to meet the requirement of a higher safety level for the steer-by-wire (SBW) system, this article proposes a dual-motor SBW (DMSBW) system to realize its safety redundancy function. Aiming at the problem of vehicle tracking performance degradation when the steering motors of the DMSBW system have serious failures, a performance-guaranteed adaptive switching fault-tolerant control (FTC) st...Show More

Performance-Guaranteed Adaptive Switching Fault-Tolerant Control of Steer-by-Wire System Considering Actuator Fault and Load Disturbance

Kunhao Xu;Xiaochuan Zhou;Wanzhong Zhao;Chunyan Wang;Zhongkai Luan;Weihe Liang;Senhao Zhang;Jinqiang Liu

IEEE Transactions on Transportation Electrification

Year: 2024 | Volume: 10, Issue: 4 | Journal Article |

A Terminal Sliding Mode-based Individualized Trajectory Tracking Control Strategy via Haptic Assistance

Han Zhang;Yuanhao Li;Wanzhong Zhao;Jinxiang Wang;Ke Xu

IEEE Transactions on Intelligent Vehicles

Year: 2024 | Early Access Article |

Cited by: Papers (2)

To improve the human-vehicle cooperation and vehicle yaw stability in trajectory tracking, a terminal sliding mode-based individualized trajectory tracking control strategy via haptic assistance is presented in this paper. The driver-vehicle system model, including the vehicle dynamics model, the active front steering (AFS) model, and driver's arm dynamics model, is built for further controller de...Show More

A Terminal Sliding Mode-based Individualized Trajectory Tracking Control Strategy via Haptic Assistance

Han Zhang;Yuanhao Li;Wanzhong Zhao;Jinxiang Wang;Ke Xu

IEEE Transactions on Intelligent Vehicles

Year: 2024 | Early Access Article |

Ego Vehicle Trajectory Prediction Based on Time-Feature Encoding and Physics-Intention Decoding

Ziyu Zhang;Chunyan Wang;Wanzhong Zhao;Mingchun Cao;Jinqiang Liu

IEEE Transactions on Intelligent Transportation Systems

Year: 2024 | Volume: 25, Issue: 7 | Journal Article |

Cited by: Papers (5)

HTML

In the stage of man-machine cooperative driving, accurately predicting the trajectory of the ego vehicle can help intelligent system understand future risk and adjust the control authority of the man-machine, thereby improving the performance of the man-machine system and eliminating man-machine conflicts. However, existing high-performance trajectory prediction methods are more focused on fully a...Show More

Ego Vehicle Trajectory Prediction Based on Time-Feature Encoding and Physics-Intention Decoding

Ziyu Zhang;Chunyan Wang;Wanzhong Zhao;Mingchun Cao;Jinqiang Liu

IEEE Transactions on Intelligent Transportation Systems

Year: 2024 | Volume: 25, Issue: 7 | Journal Article |

An Antirollover Control Strategy Based on Time-Varying Nonlinear MPC for Three-Axle Steering/Braking-by-Wire Vehicle

Bo Zhang;Wanzhong Zhao;Zhongkai Luan;Chunyan Wang;Xiaochuan Zhou;Haixiao Wu

IEEE Transactions on Industrial Electronics

Year: 2024 | Volume: 71, Issue: 9 | Journal Article |

Cited by: Papers (2)

HTML

Under extreme working conditions, three-axle vehicle is accompanied with a huge load transfer ratio, and there is a large risk of sideslip or rollover, where the unnecessary intervention of antirollover control may worsen vehicle's unstability. In order to improve the vehicle antirollover performance and stability, a steering/braking-by-wire-integrated antirollover control strategy is proposed. Th...Show More

An Antirollover Control Strategy Based on Time-Varying Nonlinear MPC for Three-Axle Steering/Braking-by-Wire Vehicle

Bo Zhang;Wanzhong Zhao;Zhongkai Luan;Chunyan Wang;Xiaochuan Zhou;Haixiao Wu

IEEE Transactions on Industrial Electronics

Year: 2024 | Volume: 71, Issue: 9 | Journal Article |

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

About IEEE Xplore | Contact Us | Help | Accessibility | Terms of Use | Nondiscrimination Policy | IEEE Ethics Reporting | Sitemap | IEEE Privacy Policy

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

© Copyright 2025 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

Test Whats new message.