Sohaib Azhar

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This paper presents a novel approach towards iris recognition based on dual boundary (Pupil-Iris & Sclera-Iris) detection and then using a modified Multilayer Feed Forward neural network (MFNN) to perform an efficient automatic classification. The novelty of the work resides in the fact that the proposed method features the localization of the dual iris(More)
In this paper, we propose a more generalized controller design methodology for a class of nonlinear plants. This design procedure is based on MIMO U-model structure. The U-model significantly simplifies the online synthesis of the control law. The proposed technique is applied for the internal model control of a 2-link robot manipulator. The performance of(More)
In this paper, a learning feedforward controller (LFFC) using the U-model is proposed for a better tracking control of multivariable nonlinear systems over a finite time interval. The multivariable system is modelled using the U-model and the LFFC is established using Newton-Raphson method. U-model significantly simplifies the online synthesis of the(More)
In this paper, we propose a more generalized controller design methodology for a class of nonlinear plants. This design procedure is based on MIMO U-model structure. The U-model significantly simplifies the online synthesis of the control law. The proposed technique is applied for the internal model control of a 2-link robot manipulator. The performance of(More)
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