Flower Pollination Heuristics for Nonlinear Active Noise Control Systems

Abstract In this paper, a novel design of the flower pollination algorithm is presented for model identification problems in nonlinear active noise control systems. The recently introduced flower pollination based heuristics is implemented to minimize the mean squared error based merit/cost function...

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Veröffentlicht in:	Computers, materials & continua materials & continua, 2021, Vol.67 (1), p.815-834
Hauptverfasser:	Ullah Khan, Wasim, He, Yigang, Asif Zahoor Raja, Muhammad, Ishtiaq Chaudhary, Naveed, Aslam Khan, Zeshan, Muslim Shah, Syed
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Active noise control Comparative studies Complexity Control systems Cost function Fireworks Genetic algorithms Heuristic Heuristic methods Mathematical models Noise control Nonlinear control Optimization algorithms Particle swarm optimization Random signals Robust control
Online-Zugang:	Volltext
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