Mohammad Kashki

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In this paper, an efficient optimization method based on reinforcement learning automata (RLA) for optimum parameters setting of conventional proportional-integral-derivative (PID) controller for AVR system of power synchronous generator is proposed. The proposed method is Continuous Action Reinforcement Learning Automata (CARLA) which is able to explore(More)
In this paper, a novel efficient optimization method based on reinforcement learning automata (RLA) for optimum parameters setting of conventional proportional-integralderivative (PID) controller for AVR system of power synchronous generator is proposed. The proposed method is Combinatorial Discrete and Continuous Action Reinforcement Learning Automata(More)
In this paper, we introduce an inertially actuated robot that moves in the horizontal plane. The robot is actuated by using two spinning masses. The mathematical model of the system is developed and the equations of motion are derived. The role of surface friction in the robot's motion is also investigated. We presented a theorem that proves the(More)
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