Yazar "0000-0002-3234-281X" için listeleme
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Adaptive extremum seeking scheme for ABS control
Dinçmen, Erkin (IEEE, 2014)A sliding mode based extremum seeking algorithm is applied to the ABS control problem where the optimum slip ratio is searched online for maximum braking force in unknown road conditions. By making the parameter of the ... -
A cooperative neural network control structure and its application for systems having dead-zone nonlinearities
Dinçmen, Erkin (Springer International Publishing Ag, 2022-03)An adaptive control structure utilizing two feed-forward neural networks (NN) is proposed to deal with systems having unknown nonlinearities. One of the networks is trained to mimic the nonlinear system dynamics. Its ... -
Design of a global extremum seeking algorithm for an omni-directional robot model
Dinçmen, Erkin (Romanian Soc Control Tech Informatics, 2017-06)A global extremum seeking algorithm is developed for a mobile robot model where the aim is to find the location of the most powerful signal source among the others. In other words, the control problem is to seek the global ... -
An emergency braking controller based on extremum seeking with experimental implementation
Dinçmen, Erkin; Altınel, Tunç (Springer Berlin Heidelberg, 2018-03-01)An extremum seeking scheme is developed for maximizing the longitudinal tire forces of the road vehicles during emergency braking situations. If the road condition is known, then a conventional braking controller could ... -
Extremum seeking control of uncertain systems
Dinçmen, Erkin (Işık University Press, 2017)Extremum seeking is used in control problems where the reference trajectory or reference set point of the system is not known but it is searched in real time in order to maximize or minimize a performance function representing ... -
Extremum seeking dead-zone pre-compensator for an industrial control system
Dinçmen, Erkin (Walter De Gruyter GMBH, 2018-06-26)PID type industrial controllers such as PI, PD, PID are mature control algorithms and they are intensively used in industry due to their simplicity and easily implementability. However, they start to fail when there is an ... -
Extremum-seeking control of ABS braking in road vehicles with lateral force improvement
Dinçmen, Erkin; Güvenç, Bilin Aksun; Acarman, Tankut (IEEE-INST Electrical Electronics Engineers Inc, 2014-01)An ABS control algorithm based on extremum seeking is presented in this brief. The optimum slip ratio between the tire patch and the road is searched online without having to estimate road friction conditions. This is ... -
A gain-switched self-optimizer for braking controller
Dinçmen, Erkin (John Wiley and Sons Ltd, 2017-06)An emergency braking controller is developed with improved operation characteristics near the maximum friction zone. The methodology is based on self-seeking a-priori unknown optimum operation point to maximize a performance ... -
A global optimal control methodology and its application to a mobile robot model
Dinçmen, Erkin (Elsevier B.V., 2016)A 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 ... -
Neural network steering control algorithm for autonomous ground vehicles having signal time delay
Dinçmen, Erkin (SAGE Publications Ltd, 2024-03)An adaptive neural network–based steering control algorithm is proposed for yaw rate tracking of autonomous ground vehicles with in-vehicle signal time delay. The control system consists of two neural networks: the observer ... -
Optimal abs frenleme kontrolcüsünün geliştirilmesi
Dinçmen, Erkin; Altınel, Tunç (Tübitak, 2015-03)Günümüzde taşıtlarda kullanılan ticari ABS sistemleri, frenleme sırasında tekerleklerin dönme hızlarını ölçmekte, tekerleklerin yavaşlama ivmesi belli bir kritik eşik değerini aştığında fren basıncına müdahale ederek ... -
Optimum torque distribution during regenerative braking in a fully electrical vehicle via dynamic programming
Ergün, Ömer; Çaycı, N. Okan; Dinçmen, Erkin; İstif, İlyas (IEEE, 2023-10-28)In electric vehicles, it is important to maximize their regenerative braking performances for obtaining longer driving distances. In this study, for an electric vehicle having motors on the front and rear axles, an optimum ... -
Self optimizing ABS control algorithm with application
Dinçmen, Erkin; Altınel, Tunç (Institute of Electrical and Electronics Engineers Inc, 2015)A self optimizing control algorithm is applied to the ABS control problem where the algorithm accomplishes to maximize friction potential of the tires during braking in unknown road conditions. Simulation studies are ... -
A source seeking algorithm with application to a quadcopter model
Dinçmen, Erkin (Nova Science Publishers, 2019-01-01)A 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 ...