Adaptive control of system with hysteresis using neural networks

doi:10.1016/S1004-4132(06)60028-5

Journal of Systems Engineering and Electronics ›› 2006, Vol. 17 ›› Issue (1): 163-167.doi: 10.1016/S1004-4132(06)60028-5

• CONTROL THEORY AND APPLICATION • Previous Articles Next Articles

Adaptive control of system with hysteresis using neural networks

Li Chuntao¹ & Tan Yonghong ²

1. Coll. of Automation, Nanjing Univ. Aeronautics and Astronautics, Nanjing 210016, P. R. China;
2. Lab of Intelligent Systems and Control Engineering, Guilin Univ. of
Electronic Technology, Guilin 541000, P. R. China

Online:2006-03-24 Published:2019-12-19

Abstract

Abstract:

An adaptive control scheme is developed for a class of single-input nonlinear systems preceded by unknown hysteresis, which is a non-differentiable and multi-value mapping nonlinearity. The controller based on the three-layer neural network (NN), whose weights are derived from Lyapunov stability analysis, guarantees closed-loop semiglobal stability and convergence of the tracking errors to a small residual set. An example is used to confirm the effectiveness of the proposed control scheme.

Key words: neural networks, hysteresis, adaptive control, preisach model

Li Chuntao & Tan Yonghong . Adaptive control of system with hysteresis using neural networks[J]. Journal of Systems Engineering and Electronics, 2006, 17(1): 163-167.

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Adaptive control of system with hysteresis using neural networks

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