“…There are several error cost functions, like integrated time-weighted absolute error (ITAE), integrated squared error (ISE), integrated exponential time squared error (IETSE), integrated squared time cubed error (ISTCE), and integrated time exponential time squared error (ITETSE), that are employed for obtaining optimal controller parameters [19,20]. Also, iterative methods such as numerical optimization, fminsearch subroutine, and soft computing-based optimization methods, which include artificial bee colony (ABC) optimization, particle swarm optimization (PSO), genetic algorithm, cuckoo optimization, and quasi-opposition-based equilibrium optimizer, are used to minimize the cost functions [21][22][23][24][25].…”