Rami A. Maher

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This paper proposes a Genetic Programming based algorithm that can be used to design optimal controllers. The proposed algorithm will be named a Multiple Basis Function Genetic Programming (MBFGP). Herein, the main ideas concerning the initial population, the tree structure, genetic operations, and other proposed non-genetic operations are discussed in(More)
  • Rami A. Maher
  • 2013
This work presents a robust governor for load frequency control LFC of power systems with isolated steam turbine based on fractional-order PID. The five parameters of FOPID are found by optimizing the index of the integral-time-absolute error ITAE using genetic algorithm. Furthermore, to avoid saturation of the servo motor, the design is constrained for as(More)
  • Rami A. Maher
  • 2011
Robot manipulators are complex nonlinear dynamic systems. Therefore, various control schemes were adopted to achieve accurate and repeatable motion control. To maintain an accurate position of the forearm when the articulated manipulator moves from a point to point in its workspace, a robust torque control law is required. In this paper, a modified robust(More)
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