Jamil M. Bakhashwain

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In this paper, a novel multiobjective evolutionary algorithm for optimal reactive power (VAR) dispatch problem is presented. The optimal VAR dispatch problem is formulated as a nonlinear constrained multiobjective optimization problem where the real power loss and the bus voltage deviations are to be minimized simultaneously. A new Strength Pareto(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)
& Professors For their patience and support iv ACKNOWLEDGMENTS No one but Allah, the most greatest, deserves all our thanks as he gave us the faith, the patience, and the power to complete this work successfully. I remain grateful to King Fahd University of Petroleum and Minerals and particularly the Electrical Engineering Department for supporting this(More)
Radial basis function neural networks are used in a variety of applications such as pattern recognition, nonlinear identification, control, time series prediction, etc. In this paper, feedback analysis of the learning algorithm of radial basis function neural networks is presented. It studies the robustness of the learning algorithm in the presence of(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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