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A New Approach for Handling Element Accessibility Problems Faced by Persons with a Wheelchair

Saidi Sief A., Pruski A., Bennia A.

Journal of Automation Mobile Robotics and Intelligent Systems

2016

Vol. 10, No. 4

27--39

The built environment accessibility evaluation is required if the person physical capacities no longer correspond to the habitat requirements, which generally occur after an accident. For the person with disabilities, the inner accessibility of habitat is a highly important factor that allows him to live and work independently. This paper presents a new approach to determine the accessibility of handling elements like doors, windows, etc. inside the habitat for the wheelchair user. Thus, allowing housing professionals to assess the needed changes in terms of accessibility. The idea is to involve a new computer approach to evaluating the performance of these elements against wheelchair user capacity. The presented approach simulated wheelchair user behavior when he/ she is operating a handling element in order to determine the dimensions/positions of wheelchair clearance space and handle grip optimal heights while considering wheelchair arrival direction and respecting joint limits constraints of person upper body and wheelchair nonholonomy constraints.

Neural network-based MRAC control of dynamic nonlinear systems

Debbache G., Bennia A., Goléa N.

International Journal of Applied Mathematics and Computer Science

2006

Vol. 16, no 2

219-232

This paper presents direct model reference adaptive control for a class of nonlinear systems with unknown nonlinearities. The model following conditions are assured by using adaptive neural networks as the nonlinear state feedback controller. Both full state information and observer-based schemes are investigated. All the signals in the closed loop are guaranteed to be bounded and the system state is proven to converge to a small neighborhood of the reference model state. It is also shown that stability conditions can be formulated as linear matrix inequalities (LMI) that can be solved using efficient software algorithms. The control performance of the closed-loop system is guaranteed by suitably choosing the design parameters. Simulation results are presented to show the effectiveness of the approach.