Robust optimal control of connected and automated vehicle platoons through improved particle swarm optimization

Bhattacharyya, 2018 Bian, 2019, Reducing time headway for platooning of connected vehicles via V2V communication, Transp. Res. C, 102, 87, 10.1016/j.trc.2019.03.002 Cao, 2019, MR-SAS and electric power steering variable universe fuzzy PID integrated control, Neural Comput. Appl., 31, 1249, 10.1007/s00521-017-3157-7 Chen, 2004, Applying neural networks to on-line updated PID controllers for nonlinear process control, J. Process Control, 14, 211, 10.1016/S0959-1524(03)00039-8 Darbha, 2017, Effects of V2V communication on time headway for autonomous vehicles, 2002 Daskalakis, C., Skoulakis, S., Zampetakis, M., 2021. The complexity of constrained min-max optimization. In: Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, pp. 1466–1478. Dolk, 2017, Event-triggered control for string-stable vehicle platooning, IEEE Trans. Intell. Transp. Syst., 18, 3486, 10.1109/TITS.2017.2738446 Eberhart, 1995, A new optimizer using particle swarm theory, 39 Feng, 2019, String stability for vehicular platoon control: Definitions and analysis methods, Annu. Rev. Control, 47, 81, 10.1016/j.arcontrol.2019.03.001 Flores, 2018, Fractional-order-based ACC/CACC algorithm for improving string stability, Transp. Res. C, 95, 381, 10.1016/j.trc.2018.07.026 Ge, 2014, Dynamics of connected vehicle systems with delayed acceleration feedback, Transp. Res. C, 46, 46, 10.1016/j.trc.2014.04.014 Ge, 2018, Connected cruise control among human-driven vehicles: Experiment-based parameter estimation and optimal control design, Transp. Res. C, 95, 445, 10.1016/j.trc.2018.07.021 Gong, 2018, Cooperative platoon control for a mixed traffic flow including human drive vehicles and connected and autonomous vehicles, Transp. Res. B, 116, 25, 10.1016/j.trb.2018.07.005 Guo, 2012, Autonomous platoon control allowing range-limited sensors, IEEE Trans. Veh. Technol., 61, 2901, 10.1109/TVT.2012.2203362 Ho, 1999, Generalizations of the Hermite–Biehler theorem, Linear Algebra Appl., 302, 135, 10.1016/S0024-3795(99)00069-5 Hui, 2010, Control of spatially interconnected systems with random communication losses, Acta Automat. Sinica, 36, 258 Kim, 2008, Robust PID controller tuning based on the constrained particle swarm optimization, Automatica, 44, 1104, 10.1016/j.automatica.2007.08.017 Konduri, 2017 Krohling, 2001, Design of optimal disturbance rejection PID controllers using genetic algorithms, IEEE Trans. Evol. Comput., 5, 78, 10.1109/4235.910467 Li, 2020, Distributed model predictive control of multi-vehicle systems with switching communication topologies, Transp. Res. C, 118, 10.1016/j.trc.2020.102717 Li, 2020, A surrogate-assisted multiswarm optimization algorithm for high-dimensional computationally expensive problems, IEEE Trans. Cybern., 1 Li, 2011, A self-learning particle swarm optimizer for global optimization problems, IEEE Trans. Syst. Man Cybern. B, 42, 627 Liu, 2017, Cooperative spacing control for interconnected vehicle systems with input delays, IEEE Trans. Veh. Technol., 66, 10692, 10.1109/TVT.2017.2712146 NHTSA, 2021 Peters, 2011, Leader velocity tracking and string stability in homogeneous vehicle formations with a constant spacing policy, 42 Ploeg, 2014, Controller synthesis for string stability of vehicle platoons, IEEE Trans. Intell. Transp. Syst., 15, 854, 10.1109/TITS.2013.2291493 Ploeg, 2014, Lp String stability of cascaded systems: Application to vehicle platooning, IEEE Trans. Control Syst. Technol., 22, 786, 10.1109/TCST.2013.2258346 Puchta, 2020, Optimization tools based on metaheuristics for performance enhancement in a Gaussian adaptive PID controller, IEEE Trans. Cybern., 50, 1185, 10.1109/TCYB.2019.2895319 Rödönyi, 2019, Heterogeneous string stability of unidirectionally interconnected MIMO LTI systems, Automatica, 103, 354, 10.1016/j.automatica.2019.02.015 Sun, 2004, Platoon-stable adaptive controller design, 5481 Swaroop, 2001, A review of constant time headway policy for automatic vehicle following, 65 Wang, 2020, Velocity free platoon formation control for unmanned surface vehicles with output constraints and model uncertainties, Appl. Sci., 10, 1118, 10.3390/app10031118 Wang, 2017, Committee-based active learning for surrogate-assisted particle swarm optimization of expensive problems, IEEE Trans. Cybern., 47, 2664, 10.1109/TCYB.2017.2710978 Wang, 2019, Integral sliding mode control using a disturbance observer for vehicle platoons, IEEE Trans. Ind. Electron., 67, 6639, 10.1109/TIE.2019.2936990 Wang, 2019, Dynamic group learning distributed particle swarm optimization for large-scale optimization and its application in cloud workflow scheduling, IEEE Trans. Cybern., 1 Wei, 2017, Event-triggered platoon control of vehicles with time-varying delay and probabilistic faults, Mech. Syst. Signal Process., 87, 96, 10.1016/j.ymssp.2016.09.042 Wu, 2019, Distributed sliding mode control for nonlinear heterogeneous platoon systems with positive definite topologies, IEEE Trans. Control Syst. Technol. Xing, 2018, Smith predictor compensating for vehicle actuator delays in cooperative ACC systems, IEEE Trans. Veh. Technol., 68, 1106, 10.1109/TVT.2018.2886467 Yu, 2018, Set-based discrete particle swarm optimization based on decomposition for permutation-based multiobjective combinatorial optimization problems, IEEE Trans. Cybern., 48, 2139, 10.1109/TCYB.2017.2728120 Zhai, Y., Mu, N., Liao, X., Le, J., Huang, T., 2019. Unit commitment problem using an efficient PSO based algorithm. In: 2019 Eleventh International Conference on Advanced Computational Intelligence, ICACI, pp. 320–324. Zheng, 2017, Platooning of connected vehicles with undirected topologies: Robustness analysis and distributed H-infinity controller synthesis, IEEE Trans. Intell. Transp. Syst., 19, 1353, 10.1109/TITS.2017.2726038 Zheng, 2015, Stability margin improvement of vehicular platoon considering undirected topology and asymmetric control, IEEE Trans. Control Syst. Technol., 24, 1253, 10.1109/TCST.2015.2483564