Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1713283 | Journal of Systems Engineering and Electronics | 2006 | 5 Pages |
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.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Chuntao Li, Yonghong Tan,