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Yayın A global optimal control methodology and its application to a mobile robot model(Elsevier B.V., 2016) Dinçmen, ErkinA global optimal control algorithm is developed and applied to an omni-directional mobile robot model. The aim is to search and find the most intense signal source among other signal sources in the operation region of the robot. In other words, the control problem is to find the global extremum point when there are local extremas. The locations of the signal sources are unknown and it is assumed that the signal magnitudes are maximum at the sources and their magnitudes are decreasing away from the sources. The distribution characteristics of the signals are unknown, i.e. the gradients of the signal distribution functions are unknown. The control algorithm also doesn't need any position measurement of the robot itself. Only the signal magnitude should be measured via a sensor mounted on the robot. The simulation study shows the performance of the controller.Yayın A source seeking algorithm with application to a quadcopter model(Nova Science Publishers, 2019-01-01) Dinçmen, ErkinA novel extremum seeking (ES) algorithm is developed and its performance is tested on a quadcopter type unmanned aerial vehicle (UAV) model. The motivation of the paper is to develop an ES algorithm that results no oscillations in the system behaviour during the search process. Via the proposed algorithm, the quadcopter searches autonomously a signal source/target without knowing its location a priory. The controller does not use any position or GPS measurements. The presented control algorithm is composed of two phases: In the first phase, the search algorithm determines required translational acceleration values of the UAV. In the second phase, a PID-type controller is utilized to control roll and pitch angles of the UAV to maintain computed acceleration values via the search algorithm. Performance of the controller is evaluated via simulation studies.
