38 citations · 97 across the 57 of their papers we have counts for
18 papers · 1 filter
A Decentralized Partially Observable Team Decision Methodology with Delayed Information Sharing
Xiaoxing Ren, Thomas Parisini, Andreas A. Malikopoulos
We study decentralized partially observable team decision problems with low-rank latent dynamics and unknown system models. The proposed framework combines team-theoretic equivalen…
Adaptive Mitigation of Insider Threats via Off-Policy Learning
Gehui Xu, Kaiwen Chen, Zhong-Ping Jiang +2
An insider is a team member who covertly deviates from the team's optimal collaborative strategy to pursue a private objective while still appearing cooperative. Such an insider ma…
When an Approximate Model Suffices for Optimal Control
Andreas A. Malikopoulos
In this paper, we develop an optimal control framework for dynamical systems when only an approximate model of the underlying plant is available. We consider a setting in which the…
Game-Theoretic Learning-Based Mitigation of Insider Threats
Gehui Xu, Kaiwen Chen, Thomas Parisini +1
An insider is defined as a team member who covertly deviates from the team's optimal collaborative control strategy in pursuit of a private objective, while maintaining an outward…
Actor-Critic Learning for Risk-Constrained Linear Quadratic Regulation
Weijian Li, Andreas A. Malikopoulos
In this paper, we investigate the infinite-horizon risk-constrained linear quadratic regulator problem (RC-QR), which augments the classical LQR formulation with a statistical cons…
When Does Selfishness Align with Team Goals? A Structural Analysis of Equilibrium and Optimality
Gehui Xu, Thomas Parisini, Andreas A. Malikopoulos
This paper investigates the relationship between the team-optimal solution and the Nash equilibrium (NE) to assess the impact of self-interested decisions on team performance. In c…
On the Robustness of Derivative-free Methods for Linear Quadratic Regulator
Weijian Li, Panagiotis Kounatidis, Zhong-Ping Jiang +1
Policy optimization has drawn increasing attention in reinforcement learning, particularly in the context of derivative-free methods for linear quadratic regulator (LQR) problems w…
Platoon Coordination and Leader Selection in Mixed Transportation Systems via Dynamic Programming
Ying Wang, Ting Bai, Andreas A. Malikopoulos
With the growing penetration of electric trucks, freight transportation is transitioning toward a mixed system comprising both fuel-powered and electric trucks. Enhancing truck pla…
Robust Accelerated Dynamics for Subnetwork Bilinear Zero-Sum Games with Distributed Restarting
Weijian Li, Lacra Pavel, Andreas A. Malikopoulos
In this paper, we investigate distributed Nash equilibrium seeking for a class of two-subnetwork zero-sum games characterized by bilinear coupling. We present a distributed primal-…
A Note for CPS Data-driven Approaches Developed in the IDS Lab
Andreas A. Malikopoulos
The rapid evolution of Cyber-Physical Systems (CPS) across various domains like mobility systems, networked control systems, sustainable manufacturing, smart power grids, and the I…
A Feasibility Analysis at Signal-Free Intersections
Filippos N. Tzortzoglou, Logan E. Beaver, Andreas A. Malikopoulos
In this letter, we address the problem of improving the feasible domain of the solution of a decentralized control framework for coordinating connected and automated vehicles (CAVs…
Stochastic Control with Distributionally Robust Constraints for Cyber-Physical Systems Vulnerable to Attacks
Nishanth Venkatesh, Aditya Dave, Ioannis Faros +1
In this paper, we investigate the control of a cyber-physical system (CPS) while accounting for its vulnerability to external attacks. We formulate a constrained stochastic problem…
Combining Learning and Control in Linear Systems
Andreas A. Malikopoulos
In this paper, we provide a theoretical framework that separates the control and learning tasks in a linear system. This separation allows us to combine offline model-based control…
Worst-Case Control and Learning Using Partial Observations Over an Infinite Time-Horizon
Aditya Dave, Ioannis Faros, Nishanth Venkatesh +1
Safety-critical cyber-physical systems require control strategies whose worst-case performance is robust against adversarial disturbances and modeling uncertainties. In this paper,…
On Robust Control of Partially Observed Uncertain Systems with Additive Costs
Aditya Dave, Nishanth Venkatesh, Andreas A. Malikopoulos
In this paper, we consider the problem of optimizing the worst-case behavior of a partially observed system. All uncontrolled disturbances are modeled as finite-valued uncertain va…
Constraint-Driven Optimal Control for Emergent Swarming and Predator Avoidance
Logan E. Beaver, Andreas A. Malikopoulos
In this letter, we present a constraint-driven optimal control framework that achieves emergent cluster flocking within a constrained 2D environment. We formulate a decentralized o…
A Constrained Optimal Control Framework for Vehicle Platoons with Delayed Communication
A M Ishtiaque Mahbub, Behdad Chalaki, Andreas A. Malikopoulos
Vehicle platooning using connected and automated vehicles (CAVs) has attracted considerable attention. In this paper, we address the problem of optimal coordination of CAV platoons…
A Research and Educational Robotic Testbed for Real-time Control of Emerging Mobility Systems: From Theory to Scaled Experiments
Behdad Chalaki, Logan E. Beaver, A M Ishtiaque Mahbub +2
Emerging mobility systems, e.g., connected and automated vehicles (CAVs), shared mobility, and electric vehicles, provide the most intriguing opportunity for enabling users to bett…