[6] MALEKZADEH M,SADATI JALIZADEH M.Adaptive PID controller design for wing rock suppression using self-recurrent wavelet neural network identifier[J].Evolving Systems20167(4):267-275.
[7] GANJEFAR SFARAHANI M.Damping of subsynchronous resonance using self-tuning PID and wavelet neural network[J].COMPEL:The International Journal for Computation and Mathematics in Electrical and Electronic Engineering201231(4):1259-1276.
[8] WANG XCHAI H ZWANG Cet al.Improved wavelet neural network based on change rate to predict satellite clock bias[J].Survey Review202153(379):325-334.
[9] ALI H IJASSIM H MHASAN A F.Optimal nonlinear model reference controller design for ball and plate system[J].Arabian Journal for Science and Engineering2019 44(8):6757-6768.
[11] OKAFOR EUDEKWE DIBRAHIM Yet al.Heuristic and deep reinforcement learning-based PID control of trajectory tracking in a ball-and-plate system[J].Journal of Information and Telecommunication20215(2):179-196.
[14] ZHAO Y XDU XXIA G Let al.A novel fractional-order PID controller for integrated pressurized water reactor based on wavelet kernel neural network algorithm[J].Mathematical Problems in Engineering2014.doi:10.1155/2014/312541.
[15] SENIOR AHEIGOLD GRANZATO Met al.An empi-rical study of learning rates in deep neural networks for speech recognition[C]//IEEE International Conference on AcousticsSpeech and Signal Processing.Vancouver BC:IEEE2013:6724-6728.