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20212026
most citedA Scalable Reinforcement Learning Approach for Attack Allocation in Swarm to Swarm Engagement Problems

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2026

An integrated interpretable control effectiveness learning and nonlinear control allocation methodology for overactuated aircraft

Umut Demir, Aamir Ahmad, Walter Fichter +1

Nonlinear dynamics and the strong couplings that arise between multiple effectors undermine the assumptions behind conventional, linear control allocation techniques. When flight e…

cs.AI2023

An Integrated Imitation and Reinforcement Learning Methodology for Robust Agile Aircraft Control with Limited Pilot Demonstration Data

Gulay Goktas Sever, Umut Demir, Abdullah Sadik Satir +2

In this paper, we present a methodology for constructing data-driven maneuver generation models for agile aircraft that can generalize across a wide range of trim conditions and ai…

cs.AI2022

Scalable Planning and Learning Framework Development for Swarm-to-Swarm Engagement Problems

Umut Demir, A. Sadik Satir, Gulay Goktas Sever +2

Development of guidance, navigation and control frameworks/algorithms for swarms attracted significant attention in recent years. That being said, algorithms for planning swarm all…

cs.RO2022★ 1 cited

A Scalable Reinforcement Learning Approach for Attack Allocation in Swarm to Swarm Engagement Problems

Umut Demir, Nazim Kemal Ure

In this work we propose a reinforcement learning (RL) framework that controls the density of a large-scale swarm for engaging with adversarial swarm attacks. Although there is a si…

eess.SY2021

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

A. Sadik Satir, Umut Demir, Gulay Goktas Sever +1

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