This paper presents a systematic ap­proach for the design and implementation of temperature controller us­ing Intelligent Fuzzy-PID Hybrid Controller for Temperature control in Process Industry. The proposed approach employs PID based intelligent fuzzycontroller for determination of the optimal results than PID con­troller parameters for a previously identified process plant. Results indicate t...

This paper presents a new strategy based on Multi-stage Fuzzy (MSF) PID controller based on Artificial Bee Colony (ABC) for damping Power System Stabilizer (PSS) in multi-machine environment. The recent studies in artificial intelligence demonstrated that the ABC optimization is strong intelligent method in complicated stability problems. Also, finding the parameters of PID controller in power ...

This paper presents a new strategy based on Multi-stage Fuzzy (MSF) PID controller based on Artificial Bee Colony (ABC) for damping Power System Stabilizer (PSS) in multi-machine environment. The recent studies in artificial intelligence demonstrated that the ABC optimization is strong intelligent method in complicated stability problems. Also, finding the parameters of PID controller in power ...

Our project concerns the improvement of computer-based learning by the means of a lifelike presence in the learning environment. The approach combines Intelligent Tutoring System works with research on human emotion in Cognitive Science, Psychology and Communication. According for the relations between emotion, cognition and action in contextual learning, we propose an ITS model based on a mult...

A cognitive intelligent approach to the control of an electromechanical positioning actuator using Tendentious Vague Sets (TSets) is presented. The electromechanical positioning actuator prototype discussed is essentially a position control system whose constitutive elements are a PC based control unit, a Direct Torque Control (DTC) inverter and an induction motor. A generalisation of the fuzzy...

Revised: September 30th, 2007 ABSTRACT. In this paper, we discuss the social intelligence that renders affective behaviours of intelligent agents, and its application to a collaborative learning system. We argue that socially appropriate affective behaviours would provide a new dimension for collaborative learning systems. The description of a system to recognize the six universal facial expres...

This paper develops an adaptive control method for controlling frequency and voltage of an islanded mini/micro grid (M/µG) using reinforcement learning method. Reinforcement learning (RL) is one of the branches of the machine learning, which is the main solution method of Markov decision process (MDPs). Among the several solution methods of RL, the Q-learning method is used for solving RL in th...

this paper presents the approach of neuro fuzzy systems to design autonomous vehicle control system. The purposed intelligent controller deliberates obstacles avoidance, unstructured environment adaptation and speed scheduling of autonomous vehicle based on neuro-fuzzy with reinforcement learning mechanism. The purposed system provides the autonomous vehicle navigation and speed control in unst...

A method for building the rule-base of a fuzzy controller, using the iterative learning and adaptive neural fuzzy training is tested in practical conditions. This method aims to engage intelligent features to controller design procedure, by implying concepts and techniques from artificial intelligence as learning or adapting. An iterative self-learning algorithm is used to gather useful and tru...