In the context of aircraft, shimmy is an oscillatory phenomenon of the landing gear mainly due the tire dynamics and the landing gear structural dynamics. This phenomenon, which can result in severe structural damages of the landing gear, is here actively damped by an indirect fuzzy adaptive controller. The difficulties to model the ground/wheel interface require the use of an adaptive controll...

A numerical framework has been proposed to model the interacting effects of mixture non-ideality and mass transfer on hydrodynamics of a multiphase system using CFD methods.Mass transfer during condensation and vaporization is modeled by chemical potential at the liquid-vapor interface. Species mass transfers are related to the diffusion at the interface which in turn is related to the conc...

The paper presents an experimental toolkit for modeling and solving Cuuy constraint satisfaction problems (FCSPs) called JFSolver. JFSolver is a Java based library developed as an extension of a erisp constraint programming library to provide an enhanced functionality for handling fuzzy constraints including fuzzy constraint specification, propagation and search mechanisms. JFSolver comprises a...

Osteoporosis is a disease in which bones become fragile and more likely to break. can progress painlessly until it causes bone fracture or Dual Energy X-ray Absorptiometry (DEXA) costly not accessible easily so we are using Fuzzy Inference system predict osteoporosis. In this fuzzy logic, collect risk factors rules for osteoporosis build interface take inputs predicts if person has the followin...

Active participation of users in the evaluation of technical aids is essential, since they are part of the interface with the system and constitute a fundamental source of design criteria. In this study, 88 active users of wheelchairs were interviewed by means of a written questionnaire about their opinion concerning the adaptation of his/her wheelchair to the office workplace. A conceptual fra...

A new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. We use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. Then, we linearized this identified model at each sampling time to have an approximate linear time varying system. In order to stabilize...

We present a methodology for characterization and an approach for computing the solutions of fuzzy linear systems with LR fuzzy variables. As solutions, notions of exact and approximate solutions are considered. We transform the fuzzy linear system into a corresponding linear crisp system and a constrained least squares problem. If the corresponding crisp system is incompatible, then the fuzzy ...