This paper presents a bio-inspired intelligent controller to enhance the performance of nonlinear system. The is designed by capturing emotional intelligence mammalian brain mediated limbic system in which certain parts are responsible for generating emotions and these can be combined together as affective inspired control architecture (BASIC). has been used cope with nonlinearities present app...

transformative potential of game-based learning environments. The burgeoning field of game-based learning has made significant advances, including theoretical developments (Gee 2007), as well as the creation of gamebased learning environments for a broad range of K–12 subjects (Habgood and Ainsworth 2011; Ketelhut et al. 2010; Warren, Dondlinger, and Barab 2008) and training objectives (Johnson...

This paper suggests an intelligent controller for an automated vehicle planning its own trajectory based on sensor and communication data. The intelligent controller is designed using learning stochastic automata theory. Using the data received from on-board sensors, two automata (one for lateral actions, one for longitudinal actions) can learn the best possible action to avoid collisions. The ...

Air supply system is an important subsystem in a PEMFC engine system. Research on the control strategy of air great importance and significance engineering. In this paper intelligent controller based distributed deep reinforcement learning which exerts better over flux proton exchange membrane fuel cell (PEMFC) proposed. addition, collective intelligence exploration multi-delay deterministic po...

This paper suggests an intelligent controller for an automated vehicle planning its own trajectory based on sensor and communication data. The intelligent controller is designed using learning stochastic automata theory. Using the data received from on-board sensors, two automata (one for lateral actions, one for longitudinal actions) can learn the best possible action to avoid collisions. The ...

An intelligent control of photovoltaics is necessary to ensure fast response and high efficiency under different weather conditions. This is often arduous to accomplish using traditional linear controllers, as photovoltaic systems are nonlinear and contain several uncertainties. Based on the analysis of the existing literature of Maximum Power Point Tracking (MPPT) techniques, a high performanc...

in this paper, a novel compensator based on magnetically controlled reactor with fixed capacitor banks (fc-mcr) is introduced and then power system stability in presence of this compensator is studied using an intelligent control method. the problem of robust fc-mcr-based damping controller design is formulated as a multi-objective optimization problem. the multi-objective problem is concocted ...

In this paper we propose an architecture for a cognitive engine that is based on the emotional learning cycle instead of the traditional cognitive cycle. The cognitive cycle that traditionally has been used as reference for cognitive radio is on the basis of the Unified Theories of Cognition (UTC) to model rational decision making in humans. UTC represents a rational goal-oriented decision-acti...

In recent years, multi-rotor UAVs have become valuable tools in several productive fields, from entertainment to agriculture and security. However, during their flight trajectory, they sometimes do not accurately perform a specific set of tasks, the implementation controllers these vehicles is required achieve successful performance. Therefore, this research describes design position controller...