Hafedh Abid

Remote control of a domestic equipment from an Android application based on Raspberry pi card

In this paper, we propose a Remote control of a domestic equipment from an Android application based on Raspberry pi card. Home automation has been recalled in the first stage. In the second stage an application has been developed based on the android system. The different diagrams have been presented. Different codes have been developed to allow the communication between the remote user, the web server, the raspberry pi card and the home components. Also an interface card has been developed to assure the communication between the home components and raspberry pi card. The application has been installed on a Smartphone, a web server and a raspberry pi card to order the shutter of windows. The experimental results are successful.

Adaptive fuzzy sliding mode controller for a class of SISO nonlinear time-delay systems

In this paper, we propose an adaptive fuzzy controller for a class of nonlinear SISO time-delay systems. The plant model structure is represented by a Takagi–Sugeno (T–S) type fuzzy system. The T–S fuzzy model parameters are adjusted online. The proposed algorithm utilizes the sliding surface to adjust online the parameters of T–S fuzzy model. The controller is based on adjustable T–S fuzzy parameters model and sliding mode theory. The stability analysis of the closed-loop system is based on the Lyapunov approach. The plant state follows asymptotically any bounded reference signal. Two examples have been used to check performances of the proposed fuzzy adaptive control scheme.

An indirect adaptive fuzzy sliding mode controller for a class of SISO non-linear systems

In this paper, we propose an indirect adaptive fuzzy controller for a class of SISO non-linear systems. The plant model structure is represented by a Takagi-Sugeno (T-S) type fuzzy system. The parameters of the T-S fuzzy model are adjusted online; the proposed algorithms are based on sliding manifold. The indirect adaptive fuzzy controller is based on a adjustable T-S fuzzy parameters model and sliding mode theory. The analysis of the stability of the adaptive algorithms is based on the Lyapunov approach. The plant state tracks asymptotically any bounded reference input signal. Inverted pendulum and mass spring damper are two examples used to check performances of the proposed fuzzy adaptive control scheme.

Robust α-Stabilization of Uncertain Positive Takagi---Sugeno Systems with Time-Delay via Memory State-Feedback

This paper is concerned with the design of robust state-feedback controllers for uncertain positive Takagi–Sugeno systems with time-delay. The

T–S Fuzzy Algorithm for Photovoltaic Panel

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Comparative study between PI and sliding mode controllers for flexible joint manipulator driving by Brushless DC motor

α-stabilization by static state-feedback controllers with memory is investigated, taking into account the positivity and the interval uncertainties of the delayed closed-loop system into account. For this, new sufficient

Implementation of a Maximum Power Point Tracking fuzzy controller on FPGA circuit for a photovoltaic system

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