Title :
Adaptive interval 2 fuzzy neural control for a class of nonlinear systems with uncertainty and state time delays
Author :
Wang Yingying ; Wang Yingchun ; Yang Dongsheng
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
In this paper, a new adaptive control is proposed for uncertain nonlinear systems with state time delay. The uncertainties is approximately modeled by interval type-2 fuzzy neural networks. The proposed approach is based on the backstepping control technique. An adaptive interval type 2 neural fuzzy control is proposed for a class of uncertain nonlinear systems with unknown time delays. It is mathematically proved that the proposed adaptive fuzzy neural control approach is able to guarantee that all the signals of the closed-loop system are semiglobally uniformly ultimately bounded. An example is given to show the effectiveness.
Keywords :
adaptive control; approximation theory; closed loop systems; control nonlinearities; delays; fuzzy control; fuzzy neural nets; neurocontrollers; nonlinear control systems; uncertain systems; adaptive interval type-2 fuzzy neural network control; approximately-modeled uncertainties; backstepping control technique; closed-loop system; semiglobally uniformly ultimately bounded signals; state time delays; uncertain nonlinear systems; unknown time delays; Adaptive systems; Backstepping; Delay effects; Fuzzy control; Lyapunov methods; Nonlinear systems; Uncertainty; Adaptive Control; Backstepping Control; Interval Type 2 Fuzzy Neural Network (IT2FNN); Nonlinear Control;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
