Universal approximation, continuity, and differentiability are desirable properties of any
computational framework, including those that rise from human cognition and/or are inspired …

Control algorithms are the most crucial aspects in effective control of civil structures exposed
to earthquake forces. Recently, adaptive intelligent control algorithms are evolving to be a …

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 the modern industry, electro-hydraulic actuators (EHAs) have been applied to various
applications for precise position pressure/force control tasks. However, operating EHAs …

Various models of emotional learning in mammalian brain have inspired a number of
cognitive control and decision-making paradigms to date. These architectures are promising …

This paper proposes an enhanced brain emotional learning-based intelligent controller for
synchronous reluctance motor (SynRM) drives. The controller is based on an emotional …

The brain emotional learning (BEL) control paradigm has been gathering increased interest
by the control systems design community. However, the lack of a consistent mathematical …

This manuscript proposes a Pareto-optimal approach toward designing an estimator for
rejecting disturbances with an emotional-learning-based control (ELBC) administered MIMO …

We develop a novel robust self-organizing construction based on two powerful patterns—the
elegance of cognitive (brain emotional learning) and the influence of decision making (fuzzy …

Dynamic resource allocation in a cloud environment has become possible using
virtualization technologies in cloud computing. One of the applications of these technologies …