[
Abou Harfouch, Y., Yuan, S. and Baldi, S. (2017). An adaptive switched control approach to heterogeneous platooning with intervehicle communication losses, IEEE Transactions on Control of Network Systems 5(3): 1434–1444, DOI: 10.1109/TCNS.2017.2718359.]Search in Google Scholar
[
Besselink, B. and Johansson, K.H. (2017). String stability and a delay-based spacing policy for vehicle platoons subject to disturbances, IEEE Transactions on Automatic Control 62(9): 4376–4391, DOI: 10.1109/TAC.2017.2682421.]Search in Google Scholar
[
Cavazza, B.H., Gandia, R.M., Antonialli, F., Zambalde, A.L., Nicolaï, I., Sugano, J.Y. and Neto, A. D.M. (2019). Management and business of autonomous vehicles: A systematic integrative bibliographic review, International Journal of Automotive Technology and Management 19(1-2): 31–54, DOI: 10.1504/IJATM.2019.098509.]Search in Google Scholar
[
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
[
Di Bernardo, M., Salvi, A. and Santini, S. (2014). Distributed consensus strategy for platooning of vehicles in the presence of time-varying heterogeneous communication delays, IEEE Transactions on Intelligent Transportation Systems 16(1): 102–112, DOI: 10.1109/TITS.2014.2328439.]Search in Google Scholar
[
Franzè, G., Lucia, W. and Tedesco, F. (2018). A distributed model predictive control scheme for leader-follower multi-agent systems, International Journal of Control 91(2): 369–382, DOI: 10.1080/00207179.2017.1282178.]Search in Google Scholar
[
Hamdi, H., Rodrigues, M., Rabaoui, B. and Braiek, N.B. (2021). A fault estimation and fault-tolerant control based sliding mode observer for LPV descriptor systems with time delay, International Journal of Applied Mathematics and Computer Science 31(2): 247–258, DOI: 10.34768/amcs-2021-0017.]Search in Google Scholar
[
Hu, J., Bhowmick, P., Arvin, F., Lanzon, A. and Lennox, B. (2020). Cooperative control of heterogeneous connected vehicle platoons: An adaptive leader-following approach, IEEE Robotics and Automation Letters 5(2): 977–984, DOI: 10.1109/LRA.2020.2966412.]Search in Google Scholar
[
Huang, N., Duan, Z. and Zhao, Y. (2014). Leader-following consensus of second-order non-linear multi-agent systems with directed intermittent communication, IET Control Theory & Applications 8(10): 782–795, DOI: 10.1049/iet-cta.2013.0565.]Search in Google Scholar
[
Huang, N., Duan, Z. and Zhao, Y. (2015). Consensus of multi-agent systems via delayed and intermittent communications, IET Control Theory & Applications 9(1): 62–73, DOI: 10.1049/iet-cta.2014.0729.]Search in Google Scholar
[
Jiang, Y., Zhang, Y. and Wang, S. (2018). Distributed leader-following consensus control based optimal design for multi-agent systems with intermittent communications, 2018 Chinese Control and Decision Conference (CCDC), Shenyang, China, pp. 5341–5345, DOI: 10.1109/CCDC.2018.8408060.]Search in Google Scholar
[
Jond, H.B. and Yildiz, A. (2022). Connected and automated vehicle platoon formation control via differential games, IET Intelligent Transport Systems 17(2): 312–326, DOI: 10.1049/itr2.12260.]Search in Google Scholar
[
Kukurowski, N., Mrugalski, M., Pazera, M. and Witczak, M. (2022). Fault-tolerant tracking control for a non-linear twin-rotor system under ellipsoidal bounding, International Journal of Applied Mathematics and Computer Science 32(2): 171–183, DOI: 10.34768/amcs-2022-0013.]Search in Google Scholar
[
Lewis, F.L., Zhang, H., Hengster-Movric, K. and Das, A. (2013). Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches, Springer Science, London, DOI: 10.1007/978-1-4471-5574-4.]Search in Google Scholar
[
Li, S.E., Zheng, Y., Li, K., Wu, Y., Hedrick, J.K., Gao, F. and Zhang, H. (2017). Dynamical modeling and distributed control of connected and automated vehicles: Challenges and opportunities, IEEE Intelligent Transportation Systems Magazine 9(3): 46–58, DOI: 10.1109/MITS.2017.2709781.]Search in Google Scholar
[
Liu, Y., Xie, D. and Shi, L. (2020). Consensus of general linear multi-agent systems with intermittent communications, International Journal of Systems Science 51(12): 2293–2305, DOI: 10.1080/00207721.2020.1793236.]Search in Google Scholar
[
Long, X., Yu, S., Wang, Y. and Jin, L. (2014). Leader-follower consensus of multi-agent system with external disturbance based on integral sliding mode control, Proceedings of the 33rd Chinese Control Conference, Nanjing, China, pp. 1740–1745, DOI: 10.1109/ChiCC.2014.6896891.]Search in Google Scholar
[
Ozkan, M.F. and Ma, Y. (2021). Fuel-economical distributed model predictive control for heavy-duty truck platoon, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), Indianapolis, USA, pp. 1919–1926.]Search in Google Scholar
[
Prayitno, A. and Nilkhamhang, I. (2021). Distributed model reference adaptive control for vehicle platoons with uncertain dynamics, Engineering Journal 25(8): 173–185, DOI: 10.4186/ej.2021.25.8.173.]Search in Google Scholar
[
Prayitno, A. and Nilkhamhang, I. (2022). Distributed model reference control for cooperative tracking of vehicle platoons subjected to external disturbances and bounded leader input, International Journal of Control, Automation and Systems 20(6): 2067–2080, DOI: 10.1007/s12555-021-0171-4.]Search in Google Scholar
[
Qu, Z. (2009). Cooperative Control of Dynamical Systems: Applications to Autonomous Vehicles, Springer, London, DOI: 10.1007/978-1-84882-325-9.]Search in Google Scholar
[
Song, K., Liu, F., Wang, C., Wang, P. and Min, G. (2020). Driving stability analysis using naturalistic driving data with random matrix theory, IEEE Access 8: 175521–175534.]Search in Google Scholar
[
Wang, F., Liu, Z. and Chen, Z. (2019). Leader-following consensus of second-order nonlinear multi-agent systems with intermittent position measurements, Science China Information Sciences 62(10): 1–16, DOI: 10.1007/s11432-018-9732-7.]Search in Google Scholar
[
Wang, Z., Wu, G. and Barth, M.J. (2017). Developing a distributed consensus-based cooperative adaptive cruise control system for heterogeneous vehicles with predecessor following topology, Journal of Advanced Transportation 2017: 1–16, DOI: 10.1155/2017/1023654.]Search in Google Scholar
[
Wijnbergen, P., Jeeninga, M. and Besselink, B. (2021). Nonlinear spacing policies for vehicle platoons: A geometric approach to decentralized control, Systems & Control Letters 153: 104954, DOI: 10.1016/j.sysconle.2021.104954.]Search in Google Scholar
[
Xie, Y. and Lin, Z. (2020). Global consensus of multi-agent systems with intermittent directed communication in the presence of actuator saturation, International Journal of Robust and Nonlinear Control 30(18): 8469–8484, DOI: 10.1002/rnc.5255.]Search in Google Scholar
[
Xu, C., Xu, H., Su, H. and Liu, C. (2020). Disturbance-observer based consensus of linear multi-agent systems with exogenous disturbance under intermittent communication, Neurocomputing 404: 26–33, DOI: 10.1016/j.neucom.2020.04.051.]Search in Google Scholar
[
Xu, H., Zeng, W. and Xu, C. (2021). Output consensus of multi-agent systems with linear dynamics via asynchronous intermittent control, 2021 40th Chinese Control Conference (CCC), Shanghai, China, pp. 5553–5558, DOI: 10.23919/CCC52363.2021.9549806.]Search in Google Scholar
[
Xu, Z., Zegers, F.M., Wu, B., Dixon, W. and Topcu, U. (2019). Controller synthesis for multi-agent systems with intermittent communication. a metric temporal logic approach, 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, USA, pp. 1015–1022, DOI: 10.1109/ALLERTON.2019.8919727.]Search in Google Scholar
[
Yan, F., Dridi, M. and El Moudni, A. (2013). An autonomous vehicle sequencing problem at intersections: A genetic algorithm approach, International Journal of Applied Mathematics and Computer Science 23(1): 183–200, DOI: 10.2478/amcs-2013-0015.]Search in Google Scholar
[
Yan, M., Song, J., Yang, P. and Zuo, L. (2018). Neural adaptive sliding-mode control of a bidirectional vehicle platoon with velocity constraints and input saturation, Complexity 2018: 1–11, DOI: 10.1155/2018/1696851.]Search in Google Scholar
[
Zhang, H. and Lewis, F.L. (2012). Adaptive cooperative tracking control of higher-order nonlinear systems with unknown dynamics, Automatica 48(7): 1432–1439, DOI: 10.1016/j.automatica.2012.05.008.]Search in Google Scholar
[
Zhang, H., Lewis, F.L. and Das, A. (2011). Optimal design for synchronization of cooperative systems: State feedback, observer and output feedback, IEEE Transactions on Automatic Control 56(8): 1948–1952, DOI: 10.1109/TAC.2011.2139510.]Search in Google Scholar
[
Zheng, Y., Bian, Y., Li, S. and Li, S.E. (2019). Cooperative control of heterogeneous connected vehicles with directed acyclic interactions, IEEE Intelligent Transportation Systems Magazine 13(2): 127–141, DOI: 10.1109/MITS.2018.2889654.]Search in Google Scholar
[
Zheng, Y., Li, S.E., Li, K., Borrelli, F. and Hedrick, J.K. (2016). Distributed model predictive control for heterogeneous vehicle platoons under unidirectional topologies, IEEE Transactions on Control Systems Technology 25(3): 899–910, DOI: 10.1109/TCST.2016.2594588.]Search in Google Scholar
[
Zheng, Y., Li, S. E., Wang, J., Cao, D. and Li, K. (2015). Stability and scalability of homogeneous vehicular platoon: Study on the influence of information flow topologies, IEEE Transactions on Intelligent Transportation Systems 17(1): 14–26, DOI: 10.1109/TITS.2015.2402153.]Search in Google Scholar
