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In this study a Neural Adaptive method is used for position control and identification of a Magnetic levitation system. This controller consists of three parts: PID controller, radial basis function (RBF) network controller and radial basis function (RBF) network identifier. The combination of controllers produces a stable system which adapts to optimize performance. It is shown that this technique...
In this paper, an optimal parameter assignment methodology for intelligent controller based on computational model of emotional learning in mammalian brain is presented. Brain Emotional Learning Based Intelligent Controller (BELBIC) is an intelligent controller based on emotional learning process in mammalian limbic system. The proposed controller has been applied to control a single link flexible...
For the first time in this paper, Brain Emotional Learning Based Intelligent Controller (BELBIC) is applied to attitude control of a Quadrotor. BELBIC controller is designed based on the computational model of emotional learning process in mammalian brain limbic system. Proposed control algorithm is employed because of the learning ability and independency to system model and also satisfactory performances...
In this paper, a biologically motivated controller based on a mammalian limbic system called Brain Emotional Learning Based Intelligent Controller (BELBIC) is used for speed control of a Digital Servo System. The proposed controller is applied experimentally to a laboratory Digital Servo System1 via MATLAB external mode. Comparing results of the proposed controller with conventional PID controller...
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