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论文类型：期刊论文

发表时间：2006-01-01

发表刊物：3rd International Symposium on Neural Networks (ISNN 2006)

收录刊物：SCIE、EI、CPCI-S

卷号：3972

页面范围：949-955

ISSN号：0302-9743

摘要：This paper considers the problem of stabilizing a black-box plant with time delay using an improved double controller scheme. The PID parameters of the load controller of the double-controller scheme are obtained by a neural network controller with back propagation algorithm. Based on the adaptive algorithm of Universal Learning Network (ULN), ULN is adopted for modeling the plant and being a predictor of the control system. Simulation results prove the applicability and effectiveness of the improved double-controller scheme. ULN and the neural network controller give the double-controller scheme more representing abilities and robust ability.