PID controller parameters enhanced founded on Artificial Fish Swarm Algorithm
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[1] Concepción A. Monje,et al. Fractional order fuzzy-PID control of a combined cycle power plant using Particle Swarm Optimization algorithm with an improved dynamic parameters selection , 2017, Appl. Soft Comput..
[2] Yusuf Abubakar Sha’aban,et al. Optimal Design of PID Controller for Deep Space Antenna Positioning Using Weighted Cultural Artificial Fish Swarm Algorithm , 2017 .
[3] Adel Nadjaran Toosi,et al. Artificial fish swarm algorithm: a survey of the state-of-the-art, hybridization, combinatorial and indicative applications , 2012, Artificial Intelligence Review.
[4] Tore Hägglund,et al. Robust PID Design Based on QFT and Convex–Concave Optimization , 2017, IEEE Transactions on Control Systems Technology.
[5] Iztok Fister,et al. Parameter tuning of PID controller with reactive nature-inspired algorithms , 2016, Robotics Auton. Syst..
[6] Anis Sakly,et al. Particle swarm optimisation with adaptive mutation strategy for photovoltaic solar cell/module parameter extraction , 2018, Energy Conversion and Management.
[7] Yogesh V. Hote,et al. PID controller design for load frequency control: Past, Present and future challenges , 2018 .
[8] Chengbin Du,et al. An adaptive multiscale approach for identifying multiple flaws based on XFEM and a discrete artificial fish swarm algorithm , 2018, Computer Methods in Applied Mechanics and Engineering.