41 citations · 115 across the 18 of their papers we have counts for
22 papers
Scalable Forward Reachability Analysis of Multi-Agent Systems with Neural Network Controllers
Oliver Gates, Matthew Newton, Konstantinos Gatsis
Neural networks (NNs) have been shown to learn complex control laws successfully, often with performance advantages or decreased computational cost compared to alternative methods.…
Stable and Safe Reinforcement Learning via a Barrier-Lyapunov Actor-Critic Approach
Liqun Zhao, Konstantinos Gatsis, Antonis Papachristodoulou
Reinforcement learning (RL) has demonstrated impressive performance in various areas such as video games and robotics. However, ensuring safety and stability, which are two critica…
Learning Robust State Observers using Neural ODEs (longer version)
Keyan Miao, Konstantinos Gatsis
Relying on recent research results on Neural ODEs, this paper presents a methodology for the design of state observers for nonlinear systems based on Neural ODEs, learning Luenberg…
Large-Scale Graph Reinforcement Learning in Wireless Control Systems
Vinicius Lima, Mark Eisen, Konstantinos Gatsis +1
Modern control systems routinely employ wireless networks to exchange information between spatially distributed plants, actuators and sensors. With wireless networks defined by ran…
Federated Reinforcement Learning at the Edge
Konstantinos Gatsis
Modern cyber-physical architectures use data collected from systems at different physical locations to learn appropriate behaviors and adapt to uncertain environments. However, an…
Linear Regression over Networks with Communication Guarantees
Konstantinos Gatsis
A key functionality of emerging connected autonomous systems such as smart cities, smart transportation systems, and the industrial Internet-of-Things, is the ability to process an…
Adaptive Scheduling for Machine Learning Tasks over Networks
Konstantinos Gatsis
A key functionality of emerging connected autonomous systems such as smart transportation systems, smart cities, and the industrial Internet-of-Things, is the ability to process an…
Model-Free Design of Control Systems over Wireless Fading Channels
Vinicius Lima, Mark Eisen, Konstantinos Gatsis +1
Wireless control systems replace traditional wired communication with wireless networks to exchange information between actuators, plants and sensors in a control system. The noise…
Age of Information in Random Access Channels
Xingran Chen, Konstantinos Gatsis, Hamed Hassani +1
In applications of remote sensing, estimation, and control, timely communication is not always ensured by high-rate communication. This work proposes distributed age-efficient tran…
Statistical Learning for Analysis of Networked Control Systems over Unknown Channels
Konstantinos Gatsis, George J. Pappas
Recent control trends are increasingly relying on communication networks and wireless channels to close the loop for Internet-of-Things applications. Traditionally these approaches…
Optimal Resource Allocation in Wireless Control Systems via Deep Policy Gradient
Vinicius Lima Silva, Mark Eisen, Konstantinos Gatsis +1
In wireless control systems, remote control of plants is achieved through closing of the control loop over a wireless channel. As wireless communication is noisy and subject to pac…
Control Aware Radio Resource Allocation in Low Latency Wireless Control Systems
Mark Eisen, Mohammad M. Rashid, Konstantinos Gatsis +3
We consider the problem of allocating radio resources over wireless communication links to control a series of independent wireless control systems. Low-latency transmissions are n…
Latency-Reliability Tradeoffs for State Estimation
Konstantinos Gatsis, Hamed Hassani, George J. Pappas
The emerging interest in low-latency high-reliability applications, such as connected vehicles, necessitates a new abstraction between communication and control. Thanks to advances…
An Information Matrix Approach for State Secrecy
Anastasios Tsiamis, Konstantinos Gatsis, George Pappas
This paper studies the problem of remote state estimation in the presence of a passive eavesdropper. A sensor measures a linear plant's state and transmits it to an authorized user…
Cloud-based Quadratic Optimization with Partially Homomorphic Encryption
Andreea B. Alexandru, Konstantinos Gatsis, Yasser Shoukry +3
The development of large-scale distributed control systems has led to the outsourcing of costly computations to cloud-computing platforms, as well as to concerns about privacy of t…
Learning in Wireless Control Systems over Non-Stationary Channels
Mark Eisen, Konstantinos Gatsis, George J. Pappas +1
This paper considers a set of multiple independent control systems that are each connected over a non-stationary wireless channel. The goal is to maximize control performance over…
Stability of Control Systems with Feedback from Energy Harvesting Sensors
Nicholas J. Watkins, Konstantinos Gatsis, Cameron Nowzari +1
In this paper, we study the problem of certifying the stability of a closed loop system which receives feedback from an energy harvesting sensor. This is important, as energy harve…
State-Secrecy Codes for Networked Linear Systems
Anastasios Tsiamis, Konstantinos Gatsis, George J. Pappas
In this paper, we study the problem of remote state estimation, in the presence of a passive eavesdropper. An authorized user estimates the state of an unstable linear plant, based…
Resilient Monotone Submodular Function Maximization
Vasileios Tzoumas, Konstantinos Gatsis, Ali Jadbabaie +1
In this paper, we focus on applications in machine learning, optimization, and control that call for the resilient selection of a few elements, e.g. features, sensors, or leaders,…
State Estimation with Secrecy against Eavesdroppers
Anastasios Tsiamis, Konstantinos Gatsis, George J. Pappas
We study the problem of remote state estimation, in the presence of an eavesdropper. An authorized user estimates the state of a linear plant, based on the data received from a sen…
Random Access Design for Wireless Control Systems
Konstantinos Gatsis, Alejandro Ribeiro, George J. Pappas
Interferences arising between wireless sensor-actuator systems communicating over shared wireless channels adversely affect closed loop control performance. To mitigate this proble…
Value of forecasts in planning under uncertainty: Extended version
Konstantinos Gatsis, Ufuk Topcu, George J. Pappas
In environments with increasing uncertainty, such as smart grid applications based on renewable energy, planning can benefit from incorporating forecasts about the uncertainty and…