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 Chuntao 1 & Tan  Yonghong 2   

  1. 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


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