Adaptive Control Based on Neural Network System Identification
نویسنده
چکیده
In adaptive control and system identification the self tuning regulator has wide range of applications. Neural network and artificial intelligence have big role in this area. This paper presents adaptive neural network control based on self tuning regulator (STR) scheme. The paper presents neural network block for on line system identification and discrete PID block controller. Analysis for the whole scheme is presented and simulated for different systems. Adequate desired performance is obtained by comparison with the nominal methods for using self tuning regulator. Key-Words:Adaptive Control, Self Tuning Regulator, System Identification, Neural Network, Neuro Control
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تاریخ انتشار 2012