Time series predictive wavelet neural network control method

Vector time series autoregressive moving average predictive and wavelet neural networks PID method is proposed in order to solve the requirement of optimal parameters real-time calculation in various control fields (engineering systems, economics systems, etc.), especially to solve the instability and poor control performance problem of control parameters online-tuning in engineering practice. Based on additional wavelet neural networks and vector autoregressive moving average predict method and comparative experiments of relative methods, better feasibility, reliability, speed, lower static error, more flexible parameter adjustment ability are verified.