Search Results for author: N. Kemal Ure

Found 4 papers, 0 papers with code

Beyond Traditional DoE: Deep Reinforcement Learning for Optimizing Experiments in Model Identification of Battery Dynamics

no code implementations12 Oct 2023 Gokhan Budan, Francesca Damiani, Can Kurtulus, N. Kemal Ure

The standard methodology for battery modelling is traditional design of experiments (DoE), where the battery dynamics are excited with many different current profiles and the measured outputs are used to estimate the system dynamics.

energy management Management

Nonlinear Model Based Guidance with Deep Learning Based Target Trajectory Prediction Against Aerial Agile Attack Patterns

no code implementations6 Apr 2021 A. Sadik Satir, Umut Demir, Gulay Goktas Sever, N. Kemal Ure

In this work, we propose a novel missile guidance algorithm that combines deep learning based trajectory prediction with nonlinear model predictive control.

Model Predictive Control Trajectory Prediction

Learning How to Trade-Off Safety with Agility Using Deep Covariance Estimation for Perception Driven UAV Motion Planning

no code implementations11 Dec 2020 Onur Akgun, Kamil Canberk Atik, Mustafa Erdem, Mehmetcan Kaymaz, Bugrahan Yamak, N. Kemal Ure

We investigate how to utilize predictive models for selecting appropriate motion planning strategies based on perception uncertainty estimation for agile unmanned aerial vehicle (UAV) navigation tasks.

Motion Planning Robotics Systems and Control Systems and Control

A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward

no code implementations24 Sep 2020 M. Ugur Yavas, N. Kemal Ure, Tufan Kumbasar

Automated lane change is one of the most challenging task to be solved of highly automated vehicles due to its safety-critical, uncertain and multi-agent nature.

Decision Making Q-Learning

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