Neural adaptive control for uncertain nonlinear system with input saturation: State transformation based output feedback
نویسندگان
چکیده
منابع مشابه
Neural adaptive control for uncertain nonlinear system with input saturation: State transformation based output feedback
This paper presents neural adaptive control methods for a class of nonlinear systems in the presence of actuator saturation. Backstepping technique is widely used for the control of nonlinear systems. By introducing alternative state variables and implementing state transformation, the system can be reformulated as output feedback of a canonical system, which ensures that the controllers can be...
متن کاملNeural adaptive control for uncertain nonlinear system with input saturation
This paper presents neural adaptive control methods for a class of nonlinear systems in the presence of actuator saturation. Backstepping technique is widely used for the control of nonlinear systems. By introducing alternative state variables and implementing state transformation, the system can be reformulated as output feedback of a canonical system, which ensures that the controllers can be...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2015
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2015.02.012