@inproceedings{scholars6106,
            year = {2015},
             doi = {10.1109/SCORED.2015.7449309},
            note = {cited By 9; Conference of IEEE Student Conference on Research and Development, SCOReD 2015 ; Conference Date: 13 December 2015 Through 14 December 2015; Conference Code:121183},
           pages = {129--133},
         journal = {2015 IEEE Student Conference on Research and Development, SCOReD 2015},
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
           title = {PID tuning control strategy using Cuckoo Search algorithm},
        keywords = {Algorithms; Controllers; DC motors; Models; Optimization; Proportional control systems; Three term control systems; Two term control systems, Control strategies; Cuckoo search algorithms; Cuckoo searches; Dc servomotors; Meta heuristic algorithm; PID controllers; Proportional integral derivative controllers; Steady state errors, Electric machine control},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966589344&doi=10.1109\%2fSCORED.2015.7449309&partnerID=40&md5=066ae0bf513ba3da7ac9755f7883924a},
        abstract = {Direct-Current (DC) servo motor precision and accuracy is crucial. Therefore, proper tuning of these motors is crucial. This paper focuses on using nature-inspired metaheuristic algorithms due to its' capability to improve the current control systems in terms of rise time, settling time, overshoot and steady state error. Algorithms that have been investigated are the Cuckoo Search (CS) in tuning the Proportional-Integral-Derivative (PID) controller. {\^A}{\copyright} 2015 IEEE.},
          author = {Singh, K. S. M. J. and Elamvazuthi, I. and Shaari, K. Z. K. and Lima, F. V.},
            isbn = {9781467395724}
}