شماره ركورد كنفرانس :
3222
عنوان مقاله :
Adaptive Control for a Class of Non-affine Nonlinear System Using Wavelet Neural Networks
پديدآورندگان :
Mortazavian A Department of Electrical Engineering - Islamic Azad University Najafabad Branc , Zekri M Department of Electrical and Computer Engineering - Isfahan University of technolog , karimi B Department of electrical engineering - Malekashtar University of Technolog
كليدواژه :
Adaptive control , ( wavelet neural networks (WNNs , non-affine nonlinear systems , online structure tuning
عنوان كنفرانس :
دومين كنفرانس بين المللي كنترل، ابزار دقيق و اتوماسيون
چكيده لاتين :
In this paper, adaptive wavelet neural network control (AWNNC) is proposed for a class of non-affine
nonlinear systems with unknown nonlinearities. The adaption laws of the system are derived in the sense of
Lyapunov function and Barbalet’s lemma. Thus, the stability of the closed loop system is ensured and the tracking error
asymptotically converges to zero. To show the effectiveness of the proposed scheme, a Van der Pol oscillator system is
chosen as a case study. Simulation results show that the proposed controller can achieve good tracking performance
and all the signals in the closed loop system are bounded
