شماره ركورد كنفرانس :
2727
عنوان مقاله :
Adaptive control scheme for nonlinear systems using wavelet neural network identifier
عنوان به زبان ديگر :
Adaptive control scheme for nonlinear systems using wavelet neural network identifier
پديدآورندگان :
Malekzadeh Milad نويسنده Babol University of Technology , Khosravi Alireza نويسنده Babol University of Technology
تعداد صفحه :
4
كليدواژه :
Wavelet neural network , chaotic pendulum system , Sliding mode , Identification
سال انتشار :
1395
عنوان كنفرانس :
اولين كنفرانس بين المللي دستاوردهاي نوين پژوهشي در مهندسي برق و كامپيوتر
زبان مدرك :
فارسی
چكيده لاتين :
in this note, a novel combination of sliding mode controller and self-recurrent wavelet neural network identifier (SRWNNI) is employed to control nonlinear systems. SRWNNI has a considerable flexibility to identify the dynamic of nonlinear system and this property helps the proposed method to present a new adaptive predictive control scheme for unknown dynamics. This procedure is implemented on the Destructive chaos phenomena that appear in Metamorphic shape-changing Underwater autonomous Vehicle (MUV) and simulation results confirm the effectiveness of this strategy.
شماره مدرك كنفرانس :
4240260
سال انتشار :
1395
از صفحه :
1
تا صفحه :
4
سال انتشار :
1395
لينک به اين مدرک :
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