REFERENCES

1. Hasenjäger M, Heckmann M, Wersing H. A survey of personalization for advanced driver assistance systems. IEEE Trans Intell Veh 2020;5:335-44.

2. Li L, Wen D, Zheng N, Shen L. Cognitive cars: a new frontier for ADAS research. IEEE Trans Intell Trans Syst 2012;13:395-407.

3. Muresan MP, Nedevschi S. Multimodal sparse LIDAR object tracking in clutter. In: 2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP); 2018. pp. 215–21.

4. Cheng J, Ju M, Zhou M, Liu C, Gao S, et al. A dynamic evolution method for autonomous vehicle groups in a highway scene. IEEE Int Things J 2022;9:1445-57.

5. Yuan T, Krishnan K, Duraisamy B, Maile M, Schwarz T. Extended object tracking using IMM approach for a real-world vehicle sensor fusion system. In: 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI); 2017. pp. 638–43.

6. Guo C, Meguro J, Kojima Y, Naito T. A multimodal ADAS system for unmarked urban scenarios based on road context understanding. IEEE Trans Intell Transp Syst 2015;16:1690-704.

7. Hosseinnia SH, Tejado I, Milanés V, Villagrá J, Vinagre BM. Experimental application of hybrid fractional-order adaptive cruise control at low speed. IEEE Trans Contr Syst Techn 2014;22:2329-36.

8. Wang X, Chen M, Zhu M, Tremont P. Development of a kinematic-based forward collision warning algorithm using an advanced driving simulator. IEEE Trans Intell Trans Syst 2016;17:2583-91.

9. Pananurak W, Thanok S, Parnichkun M. Adaptive cruise control for an intelligent vehicle. In: 2008 IEEE International Conference on Robotics and Biomimetics; 2009. pp. 1794–99.

10. Asadi B, Vahidi A. Predictive cruise control: utilizing upcoming traffic signal information for improving fuel economy and reducing trip time. IEEE Trans Contr Syst Techn 2011;19:707-14.

11. Chiang HH, Wu SJ, Perng JW, Wu BF, Lee TT. The human-in-the-loop design approach to the longitudinal automation system for an intelligent vehicle. IEEE Trans Syst, Man, Cybern - Part A: Syst Humans 2010;40:708-20.

12. Akhegaonkar S, Nouvelière L, Glaser S, Holzmann F. Smart and green ACC: energy and safety optimization strategies for EVs. IEEE Trans Syst, Man, Cybern: Syst 2018;48:142-53.

13. Li S, Li K, Rajamani R, Wang J. Model Predictive Multi-Objective Vehicular Adaptive Cruise Control. IEEE Trans Contr Syst Technol 2011;19:556-66.

14. Hu J, Zhu J, Lei G, Platt G, Dorrell DG. Multi-objective model-predictive control for high-power converters. IEEE Trans Energy Conv 2013;28:652-63.

15. Bageshwar VL, Garrard WL, Rajamani R. Model predictive control of transitional maneuvers for adaptive cruise control vehicles. IEEE Trans Veh Technol 2004;53:1573-85.

16. Li SE, Jia Z, Li K, Cheng B. Fast online computation of a model predictive controller and its application to fuel economy–oriented adaptive cruise control. IEEE Trans Intell Trans Syst 2015;16:1199-209.

17. Corona D, De Schutter B. Adaptive cruise control for a SMART car: a comparison benchmark for MPC-PWA control methods. IEEE Trans Contr Syst Techn 2008;16:365-72.

18. Moser D, Schmied R, Waschl H, del Re L. Flexible spacing adaptive cruise control using stochastic model predictive control. IEEE Trans Contr Syst Techn 2018;26:114-27.

19. Li SE, Guo Q, Xu S, Duan J, Li S, et al. Performance enhanced predictive control for adaptive cruise control system considering road elevation information. IEEE Trans Intell Veh 2017;2:150-60.

20. Gao B, Cai K, Qu T, Hu Y, Chen H. Personalized adaptive cruise control based on online driving style recognition technology and model predictive control. IEEE Trans Veh Techn 2020;69:12482-96.

21. Yang D, Zong G, Su SF. $$\mathcal H_\infty$$ tracking control of uncertain Markovian hybrid switching systems: a fuzzy switching dynamic adaptive control approach. IEEE Trans Cybern 2022;52:3111-22.

22. Xie X, Wei C, Gu Z, Shi K. Relaxed resilient fuzzy stabilization of discrete-time Takagi-Sugeno systems via a higher order time-variant balanced matrix method. IEEE Trans Fuzzy Syst 2022:1-1.

23. Yang W, Feng G, Zhang T. Robust model predictive control for discrete-time Takagi–sugeno fuzzy systems with structured uncertainties and persistent disturbances. IEEE Trans Fuzzy Syst 2014;22:1213-28.

24. Nguyen AT, Taniguchi T, Eciolaza L, Campos V, Palhares R, et al. Fuzzy control systems: past, present and future. IEEE Comput Intell Mag 2019;14:56-68.

25. Nguyen AT, Rath J, Guerra TM, Palhares R, Zhang H. Robust set-invariance based fuzzy output tracking control for vehicle autonomous driving under uncertain lateral forces and steering constraints. IEEE Trans Intell Transp Syst 2021;22:5849-60.

26. Zhang C, Lam HK, Qiu J, Qi P, Chen Q. Fuzzy-model-based output feedback steering control in autonomous driving subject to actuator constraints. IEEE Trans Fuzzy Syst 2021;29:457-70.

27. Nguyen AT, Sentouh C, Zhang H, Popieul JC. Fuzzy static output feedback control for path following of autonomous vehicles with transient performance improvements. IEEE Trans Intell Transp Syst 2020;21:3069-79.

28. Zhang D, Wang J. A curving ACC system with coordination control of longitudinal car-following and lateral stability. Veh Syst Dyn 2012;50:1085-102.

29. Liu F, Chen Y. Improved model predictive control for cooperative adaptive cruise control subject to actuator delay. In: 2017 Chinese Automation Congress (CAC); 2017. pp. 4747–22.

30. Zhang H, Zhang X, Wang J. Robust gain-scheduling energy-to-peak control of vehicle lateral dynamics stabilisation. Veh Syst Dyn 2014;52:309-40.

31. Baffet G, Charara A, Dherbomez G. An observer of tire–road forces and friction for active security vehicle systems. IEEE/ASME Trans Mechatr 2007;12:651-61.

32. Rajamani R. Vehicle dynamics and control. Springer Science & Business Media; 2011.

33. Nguyen A, Sentouh C, Zhang H, Popieul J. Fuzzy static output feedback control for path following of autonomous vehicles with transient performance improvements. IEEE Trans Intell Transp Syst 2020;21:3069-79.

34. Yang W, Gao J, Feng G, Zhang TJ. An optimal approach to output-feedback robust model predictive control of LPV systems with disturbances. Int J Rob Nonl Contr 2016:26.

35. Jiang ZP, Wang Y. Input-to-state stability for discrete-time nonlinear systems. Automatica 2001;37:857-69.

36. Magni L, Raimondo DM, Scattolini R. Regional input-to-state stability for nonlinear model predictive control. IEEE Trans Autom Contr 2006;51:1548-53.

37. Xie L, Fu M, de Souza CE. H/sub infinity/control and quadratic stabilization of systems with parameter uncertainty via output feedback. IEEE Trans Autom Contr 1992;37:1253-56.

38. Kothare MV, Balakrishnan V, Morari M. Robust constrained model predictive control using linear matrix inequalities. Automatica 1996;32:1361-79.

39. Costello GA. Theory of wire rope. New York, NY: Springer New York; 1997.

40. Cheng S, Li L, Guo H, Chen Z, Song P. Longitudinal collision avoidance and lateral stability adaptive control system based on MPC of autonomous vehicles. IEEE Trans Intell Trans Syst 2020;21:2376-85.

41. Lofberg J. YALMIP : a toolbox for modeling and optimization in MATLAB. In: 2004 IEEE International Conference on Robotics and Automation (IEEE Cat. No. 04CH37508); 2004. pp. 284–89.