Dynamic Adjustment Neural Network–Based Cooperative Control for Vehicle Platoons with State Constraints
By:
References
- Chang, B.-J., Hwang, R.-H., Tsai, Y.-L., Yu, B.-H. and Liang, Y.-H. (2019). Cooperative adaptive driving for platooning autonomous self driving based on edge computing, International Journal of Applied Mathematics and Computer Science 29(2): 213–225, DOI: 10.2478/amcs-2019-0016.
- Corets, J., Martinez, S., Karatas, T. and Bullo, F. (2002). Coverage control for mobile sensing networks, International Conference on Robotics and Automation, Washington, USA, pp. 1327–1332.
- Dutta, R.G., Hu, Y., Yu, F., Zhang, T. and Jin, Y. (2022). Design and analysis of secure distributed estimator for vehicular platooning in adversarial environment, IEEE Transactions on Intelligent Transportation Systems 23(4): 3418–3429.
- Earnhardta, C., Groelke, B., Borek, J., Evan, Pelletier, Brennan, S. and Vermillion, C. (2022). Cooperative exchange-based platooning using predicted fuel-optimal operation of heavy-duty vehicles, IEEE Transactions on Intelligent Transportation Systems 23(10): 17312–17324.
- Feng, G., Dang, D. and He, Y. (2022). Robust coordinated control of nonlinear heterogeneous platoon interacted by uncertain topology, IEEE Transactions on Intelligent Transportation Systems 23(6): 4982–4992.
- Gao, F., Hu, X., Li, S.E., Li, K. and Sun, Q. (2018). Distributed adaptive sliding mode control of vehicular platoon with uncertain interaction topology, IEEE Transactions on Industrial Electronics 65(8): 6352–6361.
- Gao, F., Li, S. E., Zheng, Y. and Kum, D. (2016). Robust control of heterogeneous vehicular platoon with uncertain dynamics and communication delay, IET Intelligent Transport Systems 10(7): 503–513.
- Gong, S., Zheng, M., Hu, J. and Zhang, A. (2023). Event-triggered cooperative control for high-order nonlinear multi-agent systems with finite-time consensus, International Journal of Applied Mathematics and Computer Science 33(3): 439–448, DOI: 10.34768/amcs-2023-0032.
- Hu, B.-B., Zhang, H.-T., Yao, W., Ding, J. and Cao, M. (2023). Spontaneous-ordering platoon control for multirobot path navigation using guiding vector fields, IEEE Transactions on Robotics 39(4): 2654–2668.
- Hu, M., Li, C., Bian, Y., Zhang, H., Qin, Z. and Xu, B. (2022). Fuel economy-oriented vehicle platoon control using economic model predictive control, IEEE Transactions on Intelligent Transportation Systems 23(11).
- Huang, J., Chen, J., Yang, H. and Li, D. (2023). Vehicle platoon tracking control based on adaptive neural network algorithm, International Journal of Control, Automation and Systems 21(10): 3405–3418.
- Huang, Z., Chu, D.,Wu, C. and He, Y. (2019). Path planning and cooperative control for automated vehicle platoon using hybrid automata, IEEE Transactions on Intelligent Transportation Systems 20(3): 959–974.
- Li, J., Zhang, A. and Peng, C. (2022). Neuro-adaptive cooperative control for a class of high-order nonlinear multi-agent systems, Measurement and Control 56(5–6): 928–937.
- Li, K., Li, S.E., Gao, F., Lin, Z., Li, J. and Sun, Q. (2020a). Robust distributed consensus control of uncertain multiagents interacted by eigenvalue-bounded topologies, IEEE Internet of Things Journal 7(5): 3790–3798.
- Li, M., Cao, Z. and Li, Z. (2021). A reinforcement learning-based vehicle platoon control strategy for reducing energy consumption in traffic oscillations, IEEE Transactions on Neural Networks and Learning Systems 32(12): 5309–5322.
- Li, S. E., Zheng, Y., Li, K. and Wang, J. (2015). An overview of vehicular platoon control under the four-component framework, IEEE Intelligent Vehicles Symposium (IV), Seoul, Korea, pp. 286–291.
- Li, Y., Chen, W., Peeta, S. and Wang, Y. (2020b). Platoon control of connected multi-vehicle systems under v2x communications: Design and experiments, IEEE Transactions on Intelligent Transportation Systems 21(5): 1891–1902.
- Li, Y., Tang, C., Peeta, S. and Wang, Y. (2019). Nonlinear consensus-based connected vehicle platoon control incorporating car-following interactions and heterogeneous time delays, IEEE Transactions on Intelligent Transportation Systems 20(6): 2209–2219.
- Liang, X., Xu, C. and Wang, D. (2020). Adaptive neural network control for marine surface vehicles platoon with input saturation and output constraints, AIMS Math 5(1): 587–602.
- Liu, H., Zhuang, W., Yin, G., Tang, Z. and Xu, L. (2018). Strategy for heterogeneous vehicular platoons merging in automated highway system, Chinese Control And Decision Conference (CCDC), Shenyang, China, pp. 2736–2746.
- Liu, Y., Yao, D., Li, H. and Lu, R. (2022). Distributed cooperative compound tracking control for a platoon of vehicles with adaptive NN, IEEE Transactions on Cybernetics 52(7): 7039–7048.
- Liu, Y., Zong, C. and Zhang, D. (2019). Lateral control system for vehicle platoon considering vehicle dynamic characteristics, IET Intelligent Transport Systems 13(9): 1356–1364.
- Mitrinovic, D.S., Pecaric, J.E. and Fink, A.M. (1993a). Cauchy’s and Related Inequalities, Springer, Dordrecht.
- Mitrinovic, D.S., Pecaric, J.E. and Fink, A.M. (1993b). Young’s Inequality, Springer, Dordrecht.
- Okamoto, A., Feeley, J., Edwards, D. and Wall, R. (2004). Robust control of a platoon of underwater autonomous vehicles, Oceans’04, MTS/IEEE Techno-Ocean, Kobe, Japan, pp. 505–510.
- Peng, C., Zhang, A. and Li, J. (2021). Neuro-adaptive cooperative control for high-order nonlinear multi-agent systems with uncertainties, International Journal of Applied Mathematics and Computer Science 31(4): 635–645, DOI: 10.34768/amcs-2021-0044.
- Prayitno, A., Indrawati, V. and Nilkhamhang, I. (2023). Distributed model reference control for synchronization of a vehicle platoon with limited output information and subject to periodical intermittent information, International Journal of Applied Mathematics and Computer Science 33(4): 537–551, DOI: 10.34768/amcs-2023-0039.
- Wang, P., Deng, H., Zhang, J., Wang, L., Zhang, M. and Li, Y. (2022). Model predictive control for connected vehicle platoon under switching communication topology, IEEE Transactions on Intelligent Transportation Systems 23(7): 7817–7830.
- Wang, W., Gao, X., Li, T., Wang, Y. and Chen, C.L.P. (2023). Observer-based platoon formation control with prescribed performance guarantees for unmanned surface vehicles in presence of nonsmooth input characteristics, IEEE Transactions on Circuits and Systems II: Express Briefs 71(3): 1226–1230.
- Wu, Z., Sun, J. and Hong, S. (2022). RBFNN-based adaptive event-triggered control for heterogeneous vehicle platoon consensus, IEEE Transactions on Intelligent Transportation Systems 23(10): 18761–18773.
- Zhang, D., Shen, Y.-P., Zhou, S.-Q., Dong, X.-W. and Yu, L. (2021). Distributed secure platoon control of connected vehicles subject to DoS attack: Theory and application, IEEE Transactions on Systems, Man, and Cybernetics: Systems 51(11): 7269–7278.
- Zhao, X., Chen, Y.H. and Zhao, H. (2017). Robust approximate constraint-following control for autonomous vehicle platoon systems, Asian Journal of Control 20(4): 1611–1623.
- Zhou, H., Saigal, R., Dion, F. and Yang, L. (2012). Vehicle platoon control in high-latency wireless communications environment: Model predictive control method, Journal of the Transportation Research Board 2324(1): 81–90.
Language: English
Page range: 211 - 224
Submitted on: Nov 6, 2023
Accepted on: Mar 10, 2024
Published on: Jun 25, 2024
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Keywords:
Related subjects:
© 2024 Ping Wang, Min Gao, Junyu Li, Anguo Zhang, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.