this paper introduces a technique for controlling a class of uncertain chaotic systems using an adaptive fuzzy proportional-integrator-derivative (pid) controller with h∞ tracking performance. the purpose of this work is to achieve optimal tracking performance of the controller using backtracking search algorithm (bsa). bsa, which is a novel heuristic algorithm, has an easy structure with singl...

This paper presents fuzzy and conventional performance of model reference adaptive control(MRAC) to control a DC drive. The aims of this work are achieving better match of motor speed with reference speed, decrease of noises under load changes and disturbances, and increase of system stability. The operation of nonadaptive control and the model reference of fuzzy and conventional adaptive contr...

Background: The present study aimed to investigate the mediating role of cognitive emotion regulation strategies on the relationship between mindfulness, anxiety, and procrastination in high school students. Methods: The study sample consisted of 350 high school female students in Rasht City, Iran. The study subjects responded to the Academic Procrastination Scale (APS), the Cognitive Emotion ...

Spatial working memory (SWM) is fundamental to cognition by caching behaviorally relevant cues on a timescale of seconds and by tapping into several executive processes including encoding, maintenance and retrieval of information for adaptive behavioral response. The striatum plays a critical role in gating WM representations, but the specific contribution of the striatal indirect pathway to WM...

This paper, deals with an indirect adaptive fuzzy control of discrete-time MIMO nonlinear systems with parametric variations. The synthesis of the state feedback control law is based on the T-S fuzzy models developed by a local description of the considered system. In the first step, gradient method is used to adjust model parameters locally estimated by the fuzzy model. The state feedback cont...

Internal models and adaptive controls are empirical and mathematical paradigms that have evolved separately to describe learning control processes in brain systems and engineering systems, respectively. This paper presents a comprehensive appraisal of the correlation between these paradigms with a view to forging a unified theoretical framework that may benefit both disciplines. It is suggested...