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In view of the strongly nonlinear characteristic of electro-hydraulic servo system (EHSS), this paper aims to conduct nonlinear ordinary differential equation (ODE) parameter identification of white-box model based on the knowledge of part of the system information so as to get the accurate nonlinear model that can meet the actual needs. By establishing the state space model of the hydraulic system...
A dynamic feedforward neural network (DFNN) is proposed for predictive control, whose adaptive parameters are adjusted by using Gaussian particle swarm optimization (GPSO) in the training process. Adaptive time-delay operators are added in the DFNN to improve its generalization for poorly known nonlinear dynamic systems with long time delays. Furthermore, GPSO adopts a chaotic map with Gaussian function...
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