Robust Adaptive Neurocontrol of SISO Nonlinear Systems Preceded by Unknown Deadzone
نویسندگان
چکیده
منابع مشابه
Robust Adaptive Neurocontrol of SISO Nonlinear Systems Preceded by Unknown Deadzone
In this study, the problem of controlling an unknown SISO nonlinear system in Brunovsky canonical form with unknown deadzone input in such a way that the system output follows a specified bounded reference trajectory is considered. Based on universal approximation property of the neural networks, two schemes are proposed to handle this problem. The first scheme utilizes a smooth adaptive invers...
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ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2012
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2012/342739