3 citations · 3 across the 4 of their papers we have counts for
4 papers
Online Parameter Estimation using Physics-Informed Deep Learning for Vehicle Stability Algorithms
Kemal Koysuren, Ahmet Faruk Keles, Melih Cakmakci
Physics-informed deep learning is a popular trend in the modeling and control of dynamical systems. This paper presents a novel method for rapid online identification of vehicle co…
Learning-Based Control Compensation for Multi-Axis Gimbal Systems Using Inverse and Forward Dynamics
Damla Leblebicioğlu, Ozgur Atesoglu, Anil E. Derinoz +1
Unmanned aerospace vehicles usually carry sensors (i.e., electro-optical and/or infrared imaging cameras) as their primary payload. These sensors are used for image processing, tar…
NN Based Active Disturbance Rejection Controller for a Multi-Axis Gimbal System
Damla Leblebicioglu, Ozgur Atesoglu, Melih Cakmakci
The increasing demand for target tracking, environmental surveys, surveillance and mapping requires multi-axis gimbal systems with high tracking and stabilization performance. In t…
A Fault-Tolerant Integrated Vehicle Stability Control Using Adaptive Control Allocation
Ozan Temiz, Melih Cakmakci, Yildiray Yildiz
The focus of this paper is an integrated, fault-tolerant vehicle supervisory control algorithm for the overall stability of ground vehicles. Vehicle control systems contain many se…