Artificial intelligence (AI) and Biologically-inspired techniques, particularly the neural
networks, are recently having significant impact on power electronics and electric drives …

In this paper, the problem of flocking for Multi-Agent Systems (MAS) in presence of system
uncertainties and unknown disturbances is investigated. A biologically-inspired novel …

In this paper, we investigate the real-time flocking control of Multi-Agent Systems (MAS) in
the presence of system uncertainties and dynamic environment. To handle the impacts from …

This paper presents a real-time implementation of an improved emotional controller for
induction motor (IM) drives. The proposed controller is called brain-emotional-learning …

There is a strong trend in the development of control systems for multi-rotor unmanned aerial
vehicles (UAVs), where minimization of a control signal effort is conducted to extend the …

In this paper, speed and torque control modes (SCM and TCM) of synchronous reluctance
motor (SynRM) drives are proposed based on emotional controllers and space vector …

A biologically-inspired intelligent controller based on a computational model of emotional
learning in mammal's brain is employed for flocking control of Multi-Agent Systems (MAS) …

In the two-coupled distillation column process, keeping the tray temperatures within a
specified range around their steady state values assures the specifications for top and …

This work proposes a novel Situation-Aware FEar Learning (SAFEL) model for robots.
SAFEL combines concepts of situation-aware expert systems with well-known …

In this paper, an optimal parameter assignment methodology for intelligent controller based
on computational model of emotional learning in mammalian brain is presented. Brain …