This paper presents a proportional-integral (PI) Fuzzy rule based controller using Matlab for speed control of a dc motor. Also an analysis and performance evaluation of the proposed controller design has been carried out and presented in this paper. The fuzzy logic controller is designed using Fuzzy logic toolbox in Matlab, A mathematical model based on fundamental equations governing the operation of a dc motor has been obtained and used to design the motor model in Matlab Simulink. The simulation results of the PI-Fuzzy controller show control potentialities.

In this paper, we study a method for sparse signal recovery with the help of iteratively reweighted least square approach, which in many situations outperforms other reconstruction method mentioned in literature in a way that comparatively fewer measurements are needed for exact recovery. The algorithm given involves solving a sequence of weighted minimization for nonconvex problems where the weights for the next iteration are determined from the value of current solution. We present a number of experiments demonstrating the performance of the algorithm. The performance of the algorithm is studied via computer simulation for different number of measurements, and degree of sparsity. Also the simulation results show that improvement is achieved by incorporating regularization strategy.

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