One of the ways to overcome traffic problems in large cities is through the development of an intelligent monitoring and control of traffic lights system. This paper addresses the design and implementation of an intelligent traffic lights controller based on fuzzy logic technology. A software has been developed to simulate the situation of an isolated traffic junction based on this technology. ...

The purpose of this paper is to describe the design, development and simulation of a real time controller for an intelligent, vision guided robot. The use of a creative controller that can select its own tasks is demonstrated. This creative controller uses a task control center and dynamic database. The dynamic database stores both global environmental information and local information includin...

This paper presents an online two-stage Q-learning based multi-agent (MA) controller for load frequency control (LFC) in an interconnected multi-area multi-source power system integrated with distributed energy resources (DERs). The proposed control strategy consists of two stages. The first stage is employed a PID controller which its parameters are designed using sine cosine optimization (SCO...

This paper presents an adaptive neuro-controller for intelligent control of non-linear dynamical system. The formed as the fuzzy selective neural net the adaptive neuro-controller on the basе of system’s state, creates the effective control signal under random perturbations. The validity and advantages of the proposed adaptive neuro-controller are demonstrated by numerical simulations. The simu...

The objective of this paper is to demonstrate the powerful impact of an innovative intelligent autonomous mission planner/controller for networked multiple manned/unmanned autonomous vehicles which is applicable to the Future Combat System (FCS), Future Force Warrior (FFW), Future Special Operations Forces (SOF) systems, Land Warrior, and Homeland Defense. For the intelligent vehicles, which co...

Despite the considerable efforts of Algerian authorities to reduce high number accidents, therefore, fatalities on country’s roads, problem persists. To address this worrying situation, it is necessary adopt new technologies and approaches that can assist drivers forcing them comply with driving rules, thus putting an end concerned issue. This research aims primarily in reducing mortality rate,...

Switched Reluctance (SR) motors have a wide range of applications in industries, mainly due to the special properties of this motor. But, because of its dynamical nonlinearities, its control is complex. This paper presents an adaptive intelligent control based on the Lyapunov stability theory to control the speed of SR motors with good accuracies and performances. The proposed controller compos...

The main objective of designed the controller for a vehicle suspension system is to reduce the discomfort sensed by passengers which arises from road roughness and to increase the ride handling associated with the pitching and rolling movements. This necessitates a very fast and accurate controller to meet as much control objectives, as possible. Therefore, this paper deals with an artificial i...

This paper proposes a brain emotional learning based intelligent controller (BELBIC)for Interior Permanent magnet synchronous motor (IPMSM) drives used for traction application. The IPMSM is a suitable motor for traction because of its brushless, wide constant speed-power region and low power-loss operation. The operation of the BELBIC is based on the emotion processing mechanism in the brain. ...