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This study presents a uniform linear array (ULA) adaptive antenna which uses a theoretical analysis of an on-line autonomous intelligent adaptive tracking controller based on the emotional learning model in mammalian brains. This optimisation approach, called the brain emotional learning based on intelligent controller (BELBIC), demonstrates superior performance in estimating the arrival direction...
Several methods have been introduced for identification of nonlinear processes via locally or partially linear models. Unfortunately, most of these methods have a training phase which should be done offline. There are phenomena that possess time varying behavior. Furthermore, the amount, distribution and/or quality of measurement data that is available before the model is put to operation may be insufficient...
Brain emotional learning based intelligent controller, BELBIC, has been used for model free adaptive control of several complex industrial plants. It has proven to be very effective controller with light computational load. The aim of this research is to present a general purpose toolbox implementing BELBIC as well as examples of its performance. The user can choose to utilize default configurations...
Model-free control of unidentified systems with unstable equilibriums results in serious problems. In order to surmount these difficulties, firstly an existing model-based controller is used as a mentor for emotional-learning controller. This learning phase prepares the controller to behave like the mentor, while prevents any instability. Next, the controller is softly switched from model based to...
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