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Toplam kayıt 16, listelenen: 11-16
A gain-switched self-optimizer for braking controller
(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 ...
Design of a global extremum seeking algorithm for an omni-directional robot model
(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 ...
Far-infrared elastic scattering proposal for the Avogadro Project's silicon spheres
(Pergamon-Elsevier Science Ltd, 2018-05)
Avogadro constant determines the number of particles in one mole of a substance, thus relating the molar mass of the substance to the mass of this substance. Avogadro constant is related to Systeme Internationale base units ...
Transient multi-domain thermal modeling of interrupted cutting with coated tools
(Springer Science and Business Media Deutschland GmbH, 2021-09)
Interrupted cutting operations, such as milling, produce fluctuating tool temperatures which directly affect the process outputs. Thus, prediction of cutting tool temperatures enables process planning, selection of materials ...
Effect of scanning strategies and laser parameters on metal-composite joining
(Bellwether Publishing, 2021-07-27)
This study presents an investigation on the effectiveness, automation characteristics, and mechanics of joints between different material types namely glass ?ber reinforced plastics (GFRPs) and SS304 stainless steel using ...
A cooperative neural network control structure and its application for systems having dead-zone nonlinearities
(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 ...