[1] Bouazara mohamed, J.Richard marc. An optimization method designed to improve 3-D vehicle comfort and road holding capability through the use of active and semi-active suspensions. European Journal of Mechanics - A/Solids. 2001;20: 509-520. DOI
10.1016/S0997-7538(01)01138-X.
[4]
Yildirim Ş. Vibration control of suspension systems using a proposed neural network, Journal of Sound and Vibration. (2004); 277(4-5):1059–69. DOI
10.1016/j.jsv.2003.09.057.
[5] Mendoza R, Nawarecki M, Sename O, Dugard L, M'Saad M. An optimal control approach for the design of an active suspension system. IFAC Proceedings. 1998; 3(1): 43-8.
[6] Sepehri B, Hemati A. Active Suspension vibration control using Linear H-Infinity and optimal control. International Journal of Automotive Engineering. 2014; 4: 805-11.
[7] Yagiz N, Hacioglu Y. Backstepping control of a vehicle with active suspensions. Control Engineering Practice. 2008; 16(12): 1457-67. DOI
10.1016/ j. conengprac.2008.04.003.
[9] Slotine J, Sliding controller design for nonlinear systems. International Journal of Control.1984; 40(2):421-34. DOI
10.1080/00207178 408933284.
[10] Yoshimura T, Isari Y, Li Q, Hino J. Active suspension of motor coaches using skyhook damper and fuzzy logic control. Control Engineering Practice. 1997; DOI 5(2):175-84. DOI
10.1016/S0967-0661 (97)00224-4.
[11] Deshpande V, Shendge P, Phadke S. Active suspension systems for vehicles based on a sliding-mode controller in combination with inertial delay control, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 2013; 227(5):675-90. DOI
10.1177/0954407012462 953.
[12] Salehpour M, Jamali, A, Bagheri A, Nariman-Zadeh N. Optimum sliding mode controller design based on skyhook model for nonlinear vehicle vibration model. Automotive Science and Engineering. 2017;7(4):2537-50. DOI 10.22068/ijae. 7.4.2537.
[13] Kitayama S, Arakawa M, Yamazaki K. Differential evolution as the global optimization technique and its application to structural optimization, Applied Soft Computing.2011; 11(4): 3792–803. DOI
10.1016/ j.asoc.2011.02.012.
[14] Srinivas N, Deb K. Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms. Evolutionary Computation. 1994;2(3):221–48. DOI 10.1162/evco.1994.2.3.221.
[15] Toffolo A, Benini E. Genetic Diversity as an Objective in Multi-Objective Evolutionary Algorithms. Evolutionary Computation. 2003; 11(2): 151-67.
[16] Guo L X, Zhang L P. Robust control of active vehicle suspension under nonstationary running. Journal of Sound and Vibration. 2012;331(26):5824–37. DOI
10.1162/106365603766646816.
[17] Kim C, Ro P I. A sliding mode controller for vehicle active suspension systems with nonlinearities. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 1998;212(20):79-92. DOI
10.1243/0954407981525 812.
[18] Nariman-Zadeh N, Salehpour M, Jamali A, Haghgoo E. Pareto optimization of a five degree of freedom vehicle vibration model using a multi-objective uniform-diversity genetic algorithm (MUGA). Engineering Applications of Artificial Intelligence 2010;23(54):543–51. DOI
10.1016/ j.engappai.2009.08.008.
[19] Jamali A, Rammohan Mallipeddi, Salehpour M, Bagheri A. Multi-objective differential evolution algorithm with fuzzy inference-based adaptive mutation factor for Pareto optimum design of suspension system. Swarm and Evolutionary Computation. 2020; 54:100666. DOI 10.1016/ j.swevo.2020.100666.
[20] Deb K, Pratap A, Agarwal S, Meyarivan T. A fast and elitist multi-objective genetic algorithm: , IEEE Transactions on Evolutionary Computation. (2002); 6(2): 182-97. DOI 1
0.1109/4235.996017.
[21] Jamali A, Salehpour M, Nariman-zadeh N. Robust Pareto active suspension design for vehicle vibration model with probabilistic uncertain parameters. Multibody System Dynamics. 2013; 30(3):265-85. DOI
10.1007/s11044-012-9337-4.
[22] Mohammadmoradi S, Akbari A, Mirzaei M. Robust Model Predictive Control for Active Suspension System using Linear Matrix Inequalities. Modares Mechanical Engineering 2018; 17 (12) :183-192. DOI 20.1001.1.10275940.1396.17.12.48.0.
[23] Ramezani Moghadam A, Kebriaei H. Design and stability analysis of optimal controller and observer for Itô stochastic model of active vehicle suspension system. Journal of Control. 2019;13(3):71-83. DOI 20.1001.1.20088345.1398.13.3.4.9.
[24] Abdi B, Mirzaei M, Rafatnia S, Akbari Alvanagh A. Analytical Design of Constrained Nonlinear Optimal Controller for Vehicle Active Suspension System considering the Limitation of Hydraulic Actuator. Journal of Control. 2017;11(3):25-34. DOI 20.1001.1.20088345.1396.11.3.4.5
[25] Ghorbany M, Ebrahimi-Nejad S, Mollajafari M. Global-guidance chaotic multi-objective particle swarm optimization method for pneumatic suspension handling and ride quality enhancement on the basis of a thermodynamic model of a full vehicle. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 2023;0(0). doi:10.1177/09544070221148287. DOI
10.1177/09544070221148287.
[26] Haiping Du, Nong Zhang. control of active vehicle suspensions with actuator time delay. Journal of Sound and Vibration 2007; 301:236–52. DOI
10.1016/j.jsv.2006.09.022.
[27] Liu G, Li Y, Nie X, Zheng H. A novel clustering-based differential evolution with 2 multi-parent crossovers for global optimization. Applied Soft Computing. 2012;12(2):663-81. DOI
10.1016/j.asoc. 2011.09.020.
[28] Zhang C, Chen J, Xin B. Distributed memetic differential evolution with the synergy of Lamarckian and Baldwinian learning. Applied Soft Computing. 2013;13(5):2947-59. DOI
10.1016/j.asoc.2012.02.028.
[29] Deng W, Yang X, Zou L, Wang M, Liu Y, Li Y. An improved self-adaptive differential evolution algorithm and its application. Chemometrics and Intelligent Laboratory Systems. 2013; 128:66–76. DOI
10.1016/j.chemolab.2013.07.004.
[30] Verros G, Natsiavas S, Papadimitriou C. Design optimization of quarter-car models with passive and semi-active suspensions under random road excitation. Journal of Vibration and Control. 2005; 11:581–606. DOI
10.1177/1077546305052315.
[31] International Standard, mechanical vibration-road surface profiles-reporting of measured data, is ISO8608:2016(E), ICS 17.160;93.080.10.
)
