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This paper investigates the sensibility of the interval type-2 fuzzy c-regression algorithm to noise and outliers. To overcome this problem, a modified version of this algorithm is presented. The consequences parameters of local models are estimated using the weighted recursive least squares method. This approach is tested and validated using two examples.
This paper presents a control design for the irrigation station by sprinkling. The proposed method is applied in order to solve the problem of managing water sources and distributions systems. This paper presents the synthesis of a Backstepping control applied to the station of irrigation by sprinkling, Based on Lyapunov function, this method has the advantage of Stability conditions of the proposed...
In this paper, is proposed a robust sensorless speed observer-controller scheme for a Permanent Magnet Synchronous Motor (PMSM) based on the use of an Extended Kalman Filter (EKF) to estimate both position and speed, without any mechanical sensor. Then, a state-feedback optimal control algorithm is developed for uncertain of PMSM, based on the use of an Algebraic Riccati Equation (ARE) and a convex...
In this paper, the indirect vector control speed sensorless is presented, two adaptive mechanisms have been proposed to estimate the rotor speed. The first adaptive observer based on sliding mode, a study was made to present the steps needed to design a sliding mode observer. The second has been developed from the backstepping technique to design an observer for the rotor speed. Finally, tests show...
A fuzzy c-regression model clustering algorithm based on Bias-Eliminated Least Squares method (BELS) is presented. This method is designed to develop an identification procedure for noisy nonlinear systems. The BELS method is used to identify consequent parameters and eliminate the bias. The proposed approach has been applied to benchmark modeling problem which proved a good performance.
This paper proposes an approach to design sliding mode control for a class of uncertain nonlinear systems, where the uncertainty is a norm bounded type. Firstly, we choose the sliding surface which gives a good behaviour during sliding mode. It is formulated as an assignment of the poles of uncertain nonlinear system in a convex optimization area. Secondly, we design a nonlinear control law leading...
The Induction Machine employing vector control is an unbeatable solution in high performance economical industrial servo drive applications. We present in this paper a high performance and robust controller applied to the induction motor. The proposed solution is based on a quasi Parameter Varying Approach framework to overcome the high non-linearity of dynamic model in rotating d,q frame. The LPV...
This paper proposes a new objective function for fuzzy c-regression model (FCRM) clustering algorithm. The main motivation for this work is to develop an identification procedure for nonlinear systems affected by measurement noise. The proposed methodology is based to adding a second regularization term in the objective function of FCRM clustering algorithm in order to take in account the data are...
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