Acceso abierto

Dynamic Adjustment Neural Network–Based Cooperative Control for Vehicle Platoons with State Constraints


Cite

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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). Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

Mitrinovic, D.S., Pecaric, J.E. and Fink, A.M. (1993a). Cauchy’s and Related Inequalities, Springer, Dordrecht. Search in Google Scholar

Mitrinovic, D.S., Pecaric, J.E. and Fink, A.M. (1993b). Young’s Inequality, Springer, Dordrecht. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

eISSN:
2083-8492
Idioma:
Inglés
Calendario de la edición:
4 veces al año
Temas de la revista:
Mathematics, Applied Mathematics