Time-Delay Recurrent Neural Networks for Dynamic Systems Control

Xu Xu,Yanchun Liang,Yinghua Lu

doi:10.1007/978-3-540-28648-6_16

Time-Delay Recurrent Neural Networks for Dynamic Systems Control

Xu Xu, Yanchun Liang + Show 1 more

https://doi.org/10.1007/978-3-540-28648-6_16

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Publication Date: Jan 1, 2004

Citations: 8

Affiliation: Jilin University, Nanjing University of Aeronautics and Astronautics, Jilin Province Science and Technology Department, Northeast Normal University

#Time-delay Recurrent Neural Network #Control For Dynamic Systems + Show 8 more

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Abstract

A time-delay recurrent neural network (TDRNN) model is presented. TDRNN has a simple structure but far more “depth” and “resolution ratio” in memory. A TDRNN controller for dynamic systems is proposed. A dynamic recurrent back-propagation algorithm is developed and the optimal adaptive learning rates are also proposed to guarantee the global convergence. Numeral experiments for controlling speeds of ultrasonic motors show that the TDRNN has good effectiveness in identification and control for dynamic systems.

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