activity
20212026
most citedTemporal-Logic-Based Intermittent, Optimal, and Safe Continuous-Time Learning for Trajectory Tracking

8 citations · 11 across the 19 of their papers we have counts for

collaborators

20 papers

eess.SY2026

Cislunar Pursuit-Evasion Game on Periodic and Quasi-Periodic Orbits

Quentin Rommel, Filippos Fotiadis, Cade Armstrong +2

Cislunar spacecraft operate in nonlinear and unstable environments that make defensive maneuver planning difficult. We formulate cislunar spacecraft pursuit and evasion as a zero-s…

cs.RO2026

Remote ID Spoofing-Aware Trajectory Planning for Small Unmanned Aerial Systems

Jeremiah Webb, Bryce Bjorkman, Abel Diaz Gonzalez +7

This work presents a decentralized, spoofing-aware trajectory planning framework for small unmanned aerial systems operating under Remote Identification (RID) location spoofing att…

cs.MA2026

Characterizing Opinion Evolution of Networked LLMs

Caleb Probine, Yigit Ege Bayiz, Filippos Fotiadis +3

Large language models (LLMs) increasingly interact with one another in multi-agent systems, from simulations of human discourse to influence operations and fully LLM-driven social…

eess.SY2026

Secure Coordination for Vertiport Sequencing in Advanced Air Mobility

Jaehan Im, Filippos Fotiadis, Ufuk Topcu +1

Advanced air mobility operations will require reliable coordination mechanisms for managing dense traffic near vertiports. However, sequencing decisions may become vulnerable when…

eess.SY2026

Linear-Quadratic Gaussian Games with Distributed Sparse Estimation

Tianyu Qiu, Filippos Fotiadis, Xinjie Liu +5

Linear-quadratic Gaussian games provide a framework for modeling strategic interactions in multi-agent systems, where agents must estimate system states from noisy observations whi…

cs.RO2026

Robust Multi-Agent Reinforcement Learning for Small UAS Separation Assurance under GPS Degradation and Spoofing

Alex Zongo, Filippos Fotiadis, Ufuk Topcu +1

We address robust separation assurance for small Unmanned Aircraft Systems (sUAS) under GPS degradation and spoofing via Multi-Agent Reinforcement Learning (MARL). In cooperative s…

cs.CR2026

A Survey of Security Challenges and Solutions for Advanced Air Mobility and eVTOL Aircraft

Mahyar Ghazanfari, Iman Sharifi, Peng Wei +25

This survey reviews the existing and envisioned security vulnerabilities and defense mechanisms relevant to Advanced Air Mobility (AAM) systems, with a focus on electric vertical t…

cs.CR2026★ 3 cited

A Survey of Security Challenges and Solutions for UAS Traffic Management (UTM) and small Unmanned Aerial Systems (sUAS)

Iman Sharifi, Mahyar Ghazanfari, Abenezer Taye +25

The rapid growth of small Unmanned Aerial Systems (sUAS) for civil and commercial missions has intensified concerns about their resilience to cyber-security threats. Operating with…

math.OC2025

Tailoring Reproducing Kernels for Optimal Control via Policy Iteration

Shengyuan Niu, Ali Bouland, Haoran Wang +5

This paper presents a novel approach to formulating the actor-critic method for optimal control by casting policy iteration in reproducing kernel Hilbert spaces (RKHSs -- also know…

eess.SY2025

Coordinated UAV Beamforming and Control for Directional Jamming and Nulling

Filippos Fotiadis, Brian M. Sadler, Ufuk Topcu

Efficient mobile jamming against eavesdroppers in wireless networks necessitates accurate coordination between mobility and antenna beamforming. We study the coordinated beamformin…

eess.SY2025

Adversarial Pursuits in Cislunar Space

Filippos Fotiadis, Quentin Rommel, Gregory Falco +1

Cislunar space is becoming a critical domain for future lunar and interplanetary missions, yet its remoteness, sparse infrastructure, and unstable dynamics create single points of…

eess.SY2025

Input-Output Data-Driven Sensor Selection for Cyber-Physical Systems

Filippos Fotiadis, Kyriakos G. Vamvoudakis

In this paper, we consider the problem of input-output data-driven sensor selection for unknown cyber-physical systems (CPS). In particular, out of a large set of sensors available…

eess.SY2025

Adversarial Observability and Performance Trade-offs in Optimal Control

Filippos Fotiadis, Ufuk Topcu

We develop a feedback controller that minimizes the observability of a set of adversarial sensors of a linear system, while adhering to strict closed-loop performance constraints.…

eess.SY2025

Deception Against Data-Driven Linear-Quadratic Control

Filippos Fotiadis, Aris Kanellopoulos, Kyriakos G. Vamvoudakis +1

Deception is a common defense mechanism against adversaries with an information disadvantage. It can force such adversaries to select suboptimal policies for a defender's benefit.…

eess.SY2025

A Physics-Informed Learning Framework to Solve the Infinite-Horizon Optimal Control Problem

Filippos Fotiadis, Kyriakos G. Vamvoudakis

We propose a physics-informed neural networks (PINNs) framework to solve the infinite-horizon optimal control problem of nonlinear systems. In particular, since PINNs are generally…

eess.SY2025

Optimal Satellite Maneuvers for Spaceborne Jamming Attacks

Filippos Fotiadis, Quentin Rommel, Brian M. Sadler +1

Satellites are becoming exceedingly critical for communication, making them prime targets for cyber-physical attacks. We consider a rogue satellite in low Earth orbit that jams the…

cs.GT2025

Noncooperative Coordination via a Trading-based Auction

Jaehan Im, Filippos Fotiadis, Daniel Delahaye +2

Noncooperative multi-agent systems often face coordination challenges due to conflicting preferences among agents. In particular, when agents act in their own self-interest, they m…

cs.GT2024

Approximate Feedback Nash Equilibria with Sparse Inter-Agent Dependencies

Xinjie Liu, Jingqi Li, Filippos Fotiadis +4

Feedback Nash equilibrium strategies in multi-agent dynamic games require availability of all players' state information to compute control actions. However, in real-world scenario…

math.OC2024

Convergence Rates of Online Critic Value Function Approximation in Native Spaces

Shengyuan Niu, Ali Bouland, Haoran Wang +5

In this paper, the evolution equation that defines the online critic for the approximation of the optimal value function is cast in a general class of reproducing kernel Hilbert sp…

eess.SY2021★ 8 cited

Temporal-Logic-Based Intermittent, Optimal, and Safe Continuous-Time Learning for Trajectory Tracking

Aris Kanellopoulos, Filippos Fotiadis, Chuangchuang Sun +4

In this paper, we develop safe reinforcement-learning-based controllers for systems tasked with accomplishing complex missions that can be expressed as linear temporal logic specif…