نتایج جستجو برای: brain emotional learning based intelligent controller
تعداد نتایج: 3838444 فیلتر نتایج به سال:
This article proposes a distributed intelligent secondary control approach based on brain emotional learning-based controller (BELBIC) for power electronic-based ac microgrid (MG). The BELBIC is able to learn quick-auto and handle model complexity, nonlinearity, uncertainty of the MG. proposed fully model-free, indicating that voltage amplitude frequency deviations are regulated without previou...
educational researchers have provided evidence that teachers’ emotional intelligence has strong effects on various aspects of teaching and learning. yet, in the field of teaching english to speakers of other languages (tesol), inquiry into teachers’ emotional intelligence is nearly limited. given its documented powerful impact on teaching practices and student learning, it is critical to pursue...
building on previous studies on intellectual features and learners’ grammar learning, the present study aimed at investigating whether intelligence criterion had any impact on efl learners’ english grammar learning across two intelligence levels. in the current study, the participants were divided into two experimental and control groups by administration of raven i.q. test. this led to the for...
The School-based interventions seek to identify and administrate the affecting changes on important factors of classroom processes that predict student’s academic and social-emotional development. One of the affecting factors contributing to the improvement of the classroom quality and interactions is social-emotional learning. Social-emotional learning processes for integrating of thought, fee...
This paper presents an online two-stage Q-learning based multi-agent (MA) controller for load frequency control (LFC) in an interconnected multi-area multi-source power system integrated with distributed energy resources (DERs). The proposed control strategy consists of two stages. The first stage is employed a PID controller which its parameters are designed using sine cosine optimization (SCO...
This paper presents an intelligent iterative learning control scheme that is applicable to a class of nonlinear systems. The presented controller guarantees system stability by using a feedback controller coupled with an intelligent compensator and achieves precise tracking by using a set of iterative learning rules. In the feedback plus intelligent controller unit, the feedback control part st...
Artificial feelings and emotions are beginning to play an increasingly important role as mechanisms for facilitating learning in intelligent systems. Here we present an architectural framework for artificial neural emotions through the use of an emotional memory system, based on Dr. Peter Levine's Autonomic Nervous System States. Tying the notions of Human Autonomic Nervous System States to an ...
In this paper we present a system that motivates adaptive, curious behavior in a robot in a survival scenario. We continue prior work done on using evolutionary algorithms and neural nets to develop a robot controller capable of collecting energy in a simulated survival environment. Neural nets are efficient for producing survival behavior, but the robot only knows how to respond to stimuli it ...
There is a strong trend in the development of control systems for multi-rotor unmanned aerial vehicles (UAVs), where minimization signal effort conducted to extend flight time. The aim this article shed light on problem shaping signals terms energy-optimal flights. synthesis UAV autonomous system with brain emotional learning based intelligent controller (BELBIC) presented. BELBIC, information ...
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