Title :
Stable indirect adaptive HONN control for a class of non affine SISO nonlinear systems
Author :
Nassira, Zerari ; Mohamed, Chemachema
Author_Institution :
Dept. Electron., Constantine 1 Univ., Constantine, Algeria
Abstract :
This paper presents adaptive neural tracking control for a class of uncertain single-input single-output (SISO) non-affine nonlinear systems in general form. To deal with the non-affine appearance of the control variables, the Taylor series expansion is employed to transform the systems into a block-triangular affine form in the neighborhood of the ideal unknown control law. The developed neural control scheme based on HONN avoids singularity problem completely by using projection algorithm, and robustifying control term is used to compensate for approximation errors and disturbances. The global stability was investigated by using Lyapunov theory and the effectiveness of the proposed adaptive control scheme is demonstrated through the simulation of a non-affine nonlinear system.
Keywords :
Lyapunov methods; adaptive control; approximation theory; neurocontrollers; nonlinear control systems; robust control; series (mathematics); Lyapunov theory; SISO nonaffine nonlinear system; Taylor series expansion; adaptive control scheme; adaptive neural tracking control; approximation error; block-triangular affine; control variable; global stability; neural control scheme; nonaffine SISO nonlinear system; projection algorithm; robustifying control term; singularity problem; stable indirect adaptive HONN control; uncertain single-input single-output nonaffine nonlinear system; Adaptive control; Approximation methods; Artificial neural networks; Nonlinear systems; Trajectory; (SISO)Nonlinear non affine Systems; Adaptive control; Neural network (HONN);
Conference_Titel :
Control, Engineering & Information Technology (CEIT), 2015 3rd International Conference on
Conference_Location :
Tlemcen
DOI :
10.1109/CEIT.2015.7233105
