Abstract
For improving the control precision of electro-hydraulic synchronization position servo system, the nonlinear and non-Gaussian time sequence prediction model is constructed and nonlinear and non-Gaussian time sequence prediction procedure was built by RBF(Radial Basis Function) neural network and HMM(Hidden Markov Model ). A cascading failure prediction method in electro-hydraulic synchronization position servo system based on nonlinear and non-Gaussian time sequence prediction model was established to investigate the emergent behaviors of cascading failures and to further study the prediction and defense of cascading failures. Finally, this method was demonstrated and validated by a sample. It has shown the proposed method can improve the benefit of control precision in electro-hydraulic synchronization position servo system, and provide a support for adapting to solving dynamic error problem.
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