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20152026
most citedHallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art

37 citations · 151 across the 85 of their papers we have counts for

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23 papers · 1 filter

eess.SY2026

Computationally Constrained First-Order Prediction-Correction Approach for Time-Varying Convex Optimization

Negin Musavi, Oscar Jed R. Chuy, Melkior Ornik +1

Time-varying optimization methods often predict the locations of time-varying optima, then sample the objective function being minimized, and then compute corrections to those pred…

eess.SY2026

Physics-Informed Koopman Learning for Data-Efficient System Identification of Automated Vehicle Dynamics

Hangyu Li, Yiming Meng, Zhaohui Liang +8

Understanding how a particular automated vehicle reacts to nearby traffic can improve motion prediction, control development, traffic simulation, and safety evaluation. However, co…

eess.SY2026

Dynamic Regret in Time-varying MDPs with Intermittent Information

Negin Musavi, Melkior Ornik

We study sequential decision-making in time-varying Markov decision processes (TVMDPs) under limited update rates, where the decision-maker observes the system and updates its mode…

eess.SY2026

Input Matrix Optimization for Desired Reachable Set Warping of Linear Systems

Hrishav Das, Melkior Ornik

Shaping the reachable set of a dynamical system is a fundamental challenge in control design, with direct implications for both performance and safety. This paper considers the pro…

eess.SY2026

Energetic Resilience under Temporal Logic Specifications

Ratnangshu Das, Ram Padmanabhan, Melkior Ornik +1

In environments with uncertainties or undesirable influences, control systems can require additional energy to achieve their task while remaining resilient to these influences. In…

eess.SY2026

Resource-Constrained Shortest Path with Polytopic Reset Sets

Khaled Surur, Melkior Ornik

This paper investigates the problem of computing the shortest path between two states under resource constraints in environments with resource-replenishment regions. Namely, the le…

eess.SY2025

Lexicographic Multi-Objective Stochastic Shortest Path with Mixed Max-Sum Costs

Zhiquan Zhang, Omar Muhammetkulyyev, Tichakorn Wongpiromsarn +1

We study the Stochastic Shortest Path (SSP) problem for autonomous systems with mixed max-sum cost aggregations under Linear Temporal Logic constraints. Classical SSP formulations…

eess.SY2025

Intervention Strategies for Fairness and Efficiency at Autonomous Single-Intersection Traffic Flows

Salman Ghori, Ania Adil, Melkior Ornik +1

Intersections present significant challenges in traffic management, where ensuring safety and efficiency is essential for effective flow. However, these goals are often achieved at…

eess.SY2025

Analysis of the Unscented Transform Controller for Systems with Bounded Nonlinearities

Siddharth A. Dinkar, Ram Padmanabhan, Anna Clarke +2

In this paper, we present an analysis of the Unscented Transform Controller (UTC), a technique to control nonlinear systems motivated as a dual to the Unscented Kalman Filter (UKF)…

eess.SY2025

Sum-of-Squares Data-driven Robustly Stabilizing and Contracting Controller Synthesis for Polynomial Nonlinear Systems

Hamza El-Kebir, Melkior Ornik

This work presents a computationally efficient approach to data-driven robust contracting controller synthesis for polynomial control-affine systems based on a sum-of-squares progr…

eess.SY2024★ 1 cited

How Much Reserve Fuel: Quantifying the Maximal Energy Cost of System Disturbances

Ram Padmanabhan, Craig Bakker, Siddharth Abhijit Dinkar +1

Motivated by the design question of additional fuel needed to complete a task in an uncertain environment, this paper introduces metrics to quantify the maximal additional energy u…

eess.SY2024

Guaranteed Reachability on Riemannian Manifolds for Unknown Nonlinear Systems

Taha Shafa, Melkior Ornik

Determining the reachable set for a given nonlinear system is critically important for autonomous trajectory planning for reach-avoid applications and safety critical scenarios. Pr…

eess.SY2023

Viability under Degraded Control Authority

Hamza El-Kebir, Richard Berlin, Joseph Bentsman +1

In this work, we solve the problem of quantifying and mitigating control authority degradation in real time. Here, our target systems are controlled nonlinear affine-in-control evo…

eess.SY2023

Identifying Single-Input Linear System Dynamics from Reachable Sets

Taha Shafa, Roy Dong, Melkior Ornik

This paper is concerned with identifying linear system dynamics without the knowledge of individual system trajectories, but from the knowledge of the system's reachable sets obser…

eess.SY2023

Losing Control of your Network? Try Resilience Theory

Jean-Baptiste Bouvier, Sai Pushpak Nandanoori, Melkior Ornik

Resilience of cyber-physical networks to unexpected failures is a critical need widely recognized across domains. For instance, power grids, telecommunication networks, transportat…

eess.SY2023

Delayed resilient trajectory tracking after partial loss of control authority over actuators

Jean-Baptiste Bouvier, Himmat Panag, Robyn Woollands +1

After the loss of control authority over thrusters of the Nauka module, the International Space Station lost attitude control for 45 minutes with potentially disastrous consequence…

eess.SY2022

Resilience of Linear Systems to Partial Loss of Control Authority

Jean-Baptiste Bouvier, Melkior Ornik

After a loss of control authority over thrusters of the Nauka module, the International Space Station lost attitude control for 45 minutes with potentially disastrous consequences.…

eess.SY2022

Distributed Transient Safety Verification via Robust Control Invariant Sets: A Microgrid Application

Jean-Baptiste Bouvier, Sai Pushpak Nandanoori, Melkior Ornik +1

Modern safety-critical energy infrastructures are increasingly operated in a hierarchical and modular control framework which allows for limited data exchange between the modules.…

eess.SY2022

Quantitative Resilience of Linear Systems

Jean-Baptiste Bouvier, Melkior Ornik

Actuator malfunctions may have disastrous consequences for systems not designed to mitigate them. We focus on the loss of control authority over actuators, where some actuators are…

eess.SY2021

Quantitative Resilience of Generalized Integrators

Jean-Baptiste Bouvier, Kathleen Xu, Melkior Ornik

To design critical systems engineers must be able to prove that their system can continue with its mission even after losing control authority over some of its actuators. Such a ma…

eess.SY2021

Quantitative Resilience of Linear Driftless Systems

Jean-Baptiste Bouvier, Kathleen Xu, Melkior Ornik

This paper introduces the notion of quantitative resilience of a control system. Following prior work, we study systems enduring a loss of control authority over some of their actu…

eess.SY2020★ 3 cited

Designing Resilient Linear Driftless Systems

Jean-Baptiste Bouvier, Melkior Ornik

Critical systems must be designed resilient to all kinds of malfunctions. We are especially interested by the loss of control authority over actuators. This malfunction considers a…

eess.SY2018★ 3 cited

Robust Myopic Control for Systems with Imperfect Observations

Dantong Ge, Melkior Ornik, Ufuk Topcu

Control of systems operating in unexplored environments is challenging due to lack of complete model knowledge. Additionally, under measurement noises, data collected from onboard…