Title :
Variable Neural Adaptive Robust Control: A Switched System Approach
Author :
Jianming Lian ; Jianghai Hu ; Zak, Stanislaw H.
Author_Institution :
Purdue Univ., West Lafayette, IN, USA
Abstract :
Variable neural adaptive robust control strategies are proposed for the output tracking control of a class of multiinput multioutput uncertain systems. The controllers incorporate a novel variable-structure radial basis function (RBF) network as the self-organizing approximator for unknown system dynamics. It can determine the network structure online dynamically by adding or removing RBFs according to the tracking performance. The structure variation is systematically considered in the stability analysis of the closed-loop system using a switched system approach with the piecewise quadratic Lyapunov function. The performance of the proposed variable neural adaptive robust controllers is illustrated with simulations.
Keywords :
Lyapunov methods; MIMO systems; adaptive control; closed loop systems; neurocontrollers; radial basis function networks; robust control; variable structure systems; RBF network; closed-loop system; multiinput multioutput uncertain systems; output tracking control; piecewise quadratic Lyapunov function; self-organizing approximator; stability analysis; switched system approach; tracking performance; unknown system dynamics; variable neural adaptive robust control; variable-structure radial basis function network; Adaptive systems; Approximation methods; Radial basis function networks; Robust control; Robustness; Silicon; Vectors; Adaptive robust control; piecewise quadratic Lyapunov function; self-organizing approximator; uncertain system; variable-structure neural network; variable-structure neural network.;
Journal_Title :
Neural Networks and Learning Systems, IEEE Transactions on
DOI :
10.1109/TNNLS.2014.2327853
