Circuits, Communications and Systems, Pacific-Asia Conference on (2009)
May 16, 2009 to May 17, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PACCS.2009.38
Aiming at a class of mismatched uncertain nonlinear system with a dead zone input, an adaptive neural controller design scheme is presented by combining backstepping with variable structure control (VSC). By applying online approaching uncertainties with fully turned radial basis function (RBF) neural networks (NNs), the adaptive tuning rules are derived from the Lyapunov stability theory. To deal with the problem of extreme expanded operation quantity of backstepping method, a nonlinear tracking differentiator is introduced. The developed control scheme guarantees that all the signals of the closed loop system are uniformly ultimately bounded. Simulation results show the good tracking performance and robustness of the designed controller.
backstepping; adaptive control; mismatched uncertainty system; dead zone
X. Zibin and M. Jianqing, "NN-Based Adaptive Backstepping Control for Uncertain System with a Dead Zone Input," 2009 Pacific-Asia Conference on Circuits, Communications and Systems (PACCS 2009)(PACCS), Chengdu, 2009, pp. 504-507.