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Adaptive control of system with hysteresis using neural networks

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2 Author(s)
Li Chuntao ; Coll. of Automation, Nanjing Univ. Aeronautics and Astronautics, Nanjing 210016, P. R. China ; Tan Yonghong

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.

Published in:

Journal of Systems Engineering and Electronics  (Volume:17 ,  Issue: 1 )