Identification of Multivariable Nonlinear Dynamic System Based on PID Neural Network

Abstract:

System identification is the basis for control system design. For linear time-invariant systems have a variety of identification methods, identification methods for nonlinear dynamic system is still in the exploratory stage. Nonlinear identification method based on neural network is a simple and effective general method that does not require too much priori experience about the system to be identified. Through training and learning, the network weights are corrected to achieve the purpose of system identification. The paper is about the identification of multivariable nonlinear dynamic system based on PID neural network. The structure and algorithm of PID neural network are introduced and the properties and characteristics are analyzed. The system identification is completed and the results are fast convergence.

• Periodical: Applied Mechanics and Materials (Volumes 719-720)
• Pages: 475-481
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.719-720.475
• Online since: January 2015
• Authors: Hua Shu*, Huai Lin Shu
• Keywords: Multivariable System, Neural Network, PID, System Identification

References

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