[1] A. G. Hussien, M. Amin, M. Wang, G. Liang, A. Alsanad, A. Gumaei and H. Chen, Crow search algorithm: Theory, recent advances, and applications, IEEE Access 8 (2020), 173548–173565.
[2] A. Askarzadeh, A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm, Comput. Struct. 169 (2016), 1–12.
[3] H.O. Bansal, R. Sharma and P.R. Shreeraman, PID controller tuning techniques: a review, J. Control Eng. Technol. 2 (2012), 168–176.
[4] B.W. Bequette, Process Control: Modeling, Design, and Simulation, Prentice Hall Professional, 2003.
[5] Z. Bingul and O. Karahan, Comparison of PID and FOPID controllers tuned by PSO and ABC algorithms for unstable and integrating systems with time delay, Optim. Control Appl. Meth. 39 (2018), no. 4, 1431–1450.
[6] R.P. Borase, D.K. Maghade, S.Y. Sondkar and S.N. Pawar, A review of PID control, tuning methods and applications, Int. J. Dyn. Control 9 (2020), 818–827.
[7] M.E. El-Telbany, Tuning PID controller for DC motor: an artificial bees optimization approach, Int. J. Comput. Appl. 77 (2013), no. 15, 18–21.
[8] T. George and V. Ganesan, Optimal tuning of PID controller in time delay system: a review on various optimization techniques, Chem. Prod. Process Model. 17 (2022), no. 1, 1–28.
[9] J. Han, P. Wang and X. Yang, Tuning of PID controller based on fruit fly optimization algorithm, IEEE Int. Conf. Mechatronics Autom. ICMA, 2012, pp. 409–413.
[10] A. Kandel, R. Pacheco, A. Martins and S. Khator, The foundations of rule-based computations in fuzzy models, W. Pedrycz, (eds), Fuzzy Model. Int. Ser. Intell. Technol. Springer, Boston, MA 7 (1996), 231–263.
[11] J.S. Kim, J.H. Kim, J. Park, S. Park, W. Choe and H. Heo, Auto tuning PID controller based on improved genetic algorithm for reverse osmosis plant, World Acad. Sci. Eng. Technol. 47 (2008), no. 2, 532–537.
[12] S.M.G. Kumar, R. Jain, N. Anantharaman, V. Dharmalingam and K.M.M.S. Begum, Genetic algorithm based PID controller tuning for a model bioreactor, Indian Chem. Eng. 50 (2008), no. 3, 214–226.
[14] S.K. Mosavi, E. Jalalian and F.S. Gharahchopog, A comprehensive survey of grey wolf optimizer algorithm and its application, Int. J. Adv. Robot. Expert Syst. 1 (2023), no. 6, 23–45.
[15] A. Myrtellari, P. Marango and M. Gjonaj, Analysis and performance of linear quadratic regulator and PSO algorithm in optimal control of DC motor, Int. J. Latest Res. Eng. Technol. 2 (2016), no. 4.
[16] C.A. Neto and M. Embirucu, Tuning of PID controllers: an optimization-based method, IFAC Proc. 33 (2000), no. 4, 367–372.
[17] S.S. Rao, Engineering optimization: theory and practice, John Wiley & Sons, 2019.
[18] M.A. Sen and M. Kalyoncu, Grey wolf optimizer based tuning of a hybrid LQR-PID controller for foot trajectory control of a quadruped robot, Gazi Univ. J. Sci. 32 (2019), no. 2, 674–684.
[19] P. Srinivas, K. Lakshmi and V. Kumar, A comparison of PID controller tuning methods for three tank level process, Int. J. Adv. Res. Electr. Electron. Instrum. Eng. 3 (2014), no. 1, 6810–6820.
[20] V. Srivastava and S. Srivastava, A comprehensive review of optimization algorithms for nonlinear systems, In: R. Srivastava and A.K.S. Pundir (eds.), New Front. Commun. Intell. Syst. (2021), 535–546.
[21] N. Tandan and K.K. Swarnkar, PID controller optimization by soft computing techniques-a review, Int. J. Hybrid Inf. Technol. 8 (2015), no. 7, 357–362.
[22] M.J. Willis, Proportional-integral-derivative control, Dept. Chem. Process Eng. Univ. Newcastle, 1999.
[23] Y. Zhang, L. Zhang and Z. Dong, An MEA-tuning method for design of the PID controller, Math. Probl. Eng. 2019 (2019).