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Combined AFS and DYC Control of Four-Wheel-Independent-Drive Electric Vehicles over CAN Network with Time-Varying Delays
Abstract
This paper deals with the lateral motion control of four-wheel-independent-drive electric vehicles (4WID-EVs) subject to onboard network-induced time delays. It is well known that the in-vehicle network and x-by-wire technologies have considerable advantages over the traditional point-to-point communication. However, on the other hand, these technologies would also induce the probability of time-varying delays, which would degrade control performance or even deteriorate the system. To enjoy the advantages and deal with in-vehicle network delays, an H∞-based delay-tolerant linear quadratic regulator (LQR) control method is proposed in this paper. The problem is described in the form of an augmented discrete-time model with uncertain elements determined by the delays. Delay uncertainties are expressed in the form of a polytope using Taylor series expansion. To achieve a good steady-state response, a generalized proportional-integral control approach is adopted. The feedback gains can be obtained by solving a sequence of linear matrix inequalities (LMIs). Cosimulations with Simulink and CarSim demonstrate the effectiveness of the proposed controller. Comparison with a conventional LQR controller is also carried out to illustrate the strength of explicitly dealing with in-vehicle network delays.
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“For all the aforementioned methods, time delays are assumed to be known and time-invariant.”
From Novel reaching law based predictive sliding mode control for lateral motion control of in‐wheel motor drive electric vehicle with delay estimation (2024) · cites this paper as [13]
Citations
Cites
Rajamani, R. (2011) · Mechanical engineering series · doi:10.1007/978-1-4614-1433-9 · Cited by 4,503
A Survey of Recent Results in Networked Control Systems
Hespanha, J. P., Naghshtabrizi, P., & Xu, Y. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887288 · Cited by 3,816
(2006) · Mechanical Engineering Series · doi:10.1007/0-387-28823-6 · Cited by 1,129
Hori, Y. (2004) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2004.834944 · Cited by 758
Boudec, J.-Y. L., & Thiran, P. (2001) · Lecture notes in computer science · doi:10.1007/3-540-45318-0 · Cited by 530
Development and Experimental Evaluation of a Slip Angle Estimator for Vehicle Stability Control
Piyabongkarn, D., Rajamani, R., Grogg, J. A., & Lew, J. Y. (2008) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2008.922503 · Cited by 354
Stabilization of Arbitrary Switched Linear Systems With Unknown Time-Varying Delays
Hetel, L., Daafouz, J., & Iung, C. (2006) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2006.883030 · Cited by 307
Wang, R., Chen, Y., Feng, D., Huang, X., & Wang, J. (2010) · Journal of Power Sources · doi:10.1016/j.jpowsour.2010.11.160 · Cited by 300
Self-citationCoordinated and Reconfigurable Vehicle Dynamics Control
Wang, J., & Longoria, R. G. (2009) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2008.2002264 · Cited by 286
Self-citation$H_{\bm \infty}$ Fuzzy Filtering of Nonlinear Systems With Intermittent Measurements
Gao, H., Zhao, Y., Lam, J., & Chen, K. (2009) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2008.924206 · Cited by 278
Research works printed but not linked: 1
- 2008, Michelin Active Wheel Press Kit 2008 Paris Motor Show
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Hu, X. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-812786-5.00014-8 · Cited by 1
Wang, S., & Liu, Y. (2018) · International Forum on Energy, Environment Science and Materials (IFEESM) · doi:10.2991/ifeesm-17.2018.296 · Cited by 1
Zhang, N., Hu, J., & Ni, J. (2018) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.23919/acc.2018.8431145 · Cited by 1
$H_{\infty}$ Adaptive Fuzzy Control Approach Applied to Antilock-Braking Systems Over a CAN Network
Belchior, C., Araújo, R. A. M., Mendes, J., Chaves, A., & Maia, R. (2018) · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · doi:10.1109/etfa.2018.8502668 · Cited by 1
Wang, D., Yang, Q., & Ge, P. (2019) · IEEE Access · doi:10.1109/access.2019.2929207 · Cited by 1
Ghoul, Y. (2019) · Engineering Computations · doi:10.1108/ec-12-2018-0550 · Cited by 1
Cooperative Game Based Obstacle Avoidance Control by Integrating the Steering and Braking Systems
Xiao, K., & Lu, S. (2020) · Lecture notes in mechanical engineering · doi:10.1007/978-3-030-38077-9_169 · Cited by 1
Gao, Z., Zhang, D., Zhu, S., & Zhang, B. (2020) · International Journal of Systems Science · doi:10.1080/00207721.2020.1829164 · Cited by 1
Gain-scheduling yaw moment control for vehicle lateral stability under network-induced delay
Luo, J., Deng, Z., Li, P., & Xing, M. (2020) · International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS) · doi:10.1109/iccss52145.2020.9336921 · Cited by 1
Khatri, M., Dahiya, P., & Chaturvedi, A. (2021) · Smart innovation, systems and technologies · doi:10.1007/978-981-16-3675-2_11 · Cited by 1
Pang, Z., Liu, G. P., Zhou, D., & Sun, D. (2018) · Springer eBooks · doi:10.1007/978-981-13-0520-7_1 · Cited by 1
A unified approach to modelling of time-varying delay system for electric vehicles
Ganguli, S., & Sarkar, P. (2023) · IEEE International Conference on Sustainable Energy and Future Electric Transportation (SEFET) · doi:10.1109/sefet57834.2023.10245244 · Cited by 1
H∞ fault estimation for a class of nonlinear sampled-data systems with time delay
Wang, J., & Wang, Z. (2015) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc.2015.7162459
Self-citationIntegrated vehicle yaw stability controller design based on Lyapunov method
Guo, H., Ma, B., Fang, L., & Chen, H. (2015) · Chinese Automation Congress · doi:10.1109/cac.2015.7382790
Zhao, Y., Deng, W., Wu, J., & He, R. (2017) · SAE International journal of passenger cars. Electronic and electrical systems · doi:10.4271/2017-01-0019
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Ni, J., & Hu, J. (2017) · Lecture notes in electrical engineering · doi:10.1007/978-981-10-3527-2_14
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Zhu, X., & Meng, F. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-812786-5.00007-0
Gao, Z., Zhang, D., Zhu, S., Jia, X., & Zhang, B. (2019) · Australian & New Zealand Control Conference (ANZCC) · doi:10.1109/anzcc47194.2019.8945786
Analysis of Predictor Feedback for Time-Varying Delays that may Assume Zero Value
Liao, Y., Tang, S., Liao, F., & Krstić, M. (2020) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc42340.2020.9304493
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Liu, C., Liu, H., Han, L., Xiang, C., & Xu, B. (2020) · CAA International Conference on Vehicular Control and Intelligence (CVCI) · doi:10.1109/cvci51460.2020.9338473
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Li, X., Ju, Z., Qi, Z., Xu, X., & Zhang, H. (2021) · International Conference on Industrial Artificial Intelligence (IAI) · doi:10.1109/iai53119.2021.9619366
Self-citation2014 Index IEEE Transactions on Vehicular Technology Vol. 63
(2014) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2014.2379231
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Gao, X., Lin, C. W., & Liang, S. (2020) · doi:10.46855/energy-proceedings-2976
Driver Assistance Fuzzy Control for Vehicle Lane Keeping Systems Based on Road Frequency Range
Li, W., Zhao, J. Y., Liang, Z., Wong, P. K., Xie, Z., & Wang, Y. (2022) · International Conference on Industrial Artificial Intelligence (IAI) · doi:10.1109/iai55780.2022.9976782
Wheels Statistical Analysis for Mobile Robots in Irregular Surface: Spring Stiffness Calculation
Cardona, M., Avila, J. L. O., Moreno, H. A., Aguilar, D. A., & Ordonez, M. (2022) · IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) · doi:10.1109/icmlant56191.2022.9996486
Interval-Valued Invehicular Latency Characterization for Risk/Fault Management Purposes
Lakhal, N. M. B., Adouane, L., Nasri, O., & Slama, J. B. H. (2022) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2023.01.147
Ye, Z. (2023) · International Conference on Electrical Engineering, Control and Robotics (EECR) · doi:10.1109/eecr56827.2023.10150171
Zhang, H., Ju, Z., Chen, J., & Luo, Q. (2024) · Elsevier eBooks · doi:10.1016/b978-0-44-329857-8.00010-9
Self-citationDai, Y., Zhang, L., Chen, Q., & Hua, T. (2025) · Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · doi:10.1177/09544070251324253
An, T. H. T. A., & Pham, A. L. (2025) · Engineering Technology & Applied Science Research · doi:10.48084/etasr.10462
Lai, W., Ma, T., & Pan, J. (2025) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2025.107772
Lakhal, N. M. B. (2021) · theses.fr (ABES) · doi:10.70675/b0ffa072zd056z4402zaeddz088683efc34a
Adaptive MPC-Based Path Following Control for Autonomous Vehicles With Random Time Delays
Yang, C., Zhang, R., Wang, W., Zhang, Y., & Wang, Q. (2026) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2026.3684029
Optimizing Autonomous Obstacle Avoidance with PON Architecture and SDN-Based Dynamic Scheduling
Wang, W. W., Han, M., & Cao, W. (2026) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2026-99-0592
Twisted-Pair Low-Pass Filtering Cable Based on a Hilbert Fractal Structure
Wang, L. X., Zhou, B., & Han, Y. (2026) · IEEE International Symposium on Electromagnetic Compatibility · doi:10.1109/isemc70545.2026.11589195
Liu, R., Wang, W., Cao, W., Deng, B., & Wang, B. (2026) · IEEE Internet of Things Journal · doi:10.1109/jiot.2026.3715023
Feng, J., Liang, J., Liu, P., Cai, G., He, Y.-L., Yin, G.-D., & Wu, J. (2026) · Accident Analysis & Prevention · doi:10.1016/j.aap.2026.108826
Metadata
- Authors
- Shuai, Z., Zhang, H., Wang, J., Li, J., & Ouyang, M.
- Affiliations
- The Ohio State University (US)
- Tsinghua University (CN)
- Venue
- IEEE Transactions on Vehicular Technology
- Published
- 2014-02
- Volume
- 63
- Issue
- 2
- Pages
- 591-602
- ISSN
- 0018-9545 (ISSN-L)
- 1939-9359
- OpenAlex
- W1974945677
- Cited by
- 340
- References
- 43
- Citations by year
- 2026: 10 · 2025: 15 · 2024: 20 · 2023: 26 · 2022: 34 · 2021: 32 · 2020: 44 · 2019: 33 · 2018: 31 · 2017: 30 · 2016: 15 · 2015: 20 · 2014: 20
- FWCI
- 33.74
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Vehicular Technology (publishedVersion)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Vehicle Dynamics and Control Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Keywords
- four-wheel independent drive electric vehicles, active front steering, time-varying delays, network-induced delay, H-infinity control, linear quadratic regulator, Taylor series expansion, lateral control, linear matrix inequalities, co-simulation
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