activity
20202026
most citedSafety-Aware Learning-Based Control of Systems with Uncertainty Dependent Constraints (extended version)

1 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2026

Regret-Guaranteed Safe Switching: LQR Setting with Unknown Dynamics

Jafar Abbaszadeh Chekan, S. Rasoul Etesami, Cedric Langbort

We consider learning-based control in LQR setting, where the parameters associated with each mode are a priori unknown. The next mode to be activated is revealed online only at the…

stat.ML2024

Any-Time Regret-Guaranteed Algorithm for Control of Linear Quadratic Systems

Jafar Abbaszadeh Chekan, Cedric Langbort

We propose a computationally efficient algorithm that achieves anytime regret of order , with explicit dependence on the system dimensions and on the solutio…

eess.SY2023

Regret-Guaranteed Safe Switching with Minimum Cost: LQR Setting with Unknown Dynamics

Jafar Abbaszadeh Chekan, Cedric Langbort

Externally Forced Switched (EFS) systems represent a subset of switched systems where switches occur deliberately to meet an external requirement. However, fast switching can lead…

eess.SY2022★ 1 cited

Safety-Aware Learning-Based Control of Systems with Uncertainty Dependent Constraints (extended version)

Jafar Abbaszadeh Chekan, Cedric Langbort

The problem of safely learning and controlling a dynamical system - i.e., of stabilizing an originally (partially) unknown system while ensuring that it does not leave a prescribed…

eess.SY2022

Learn and Control while Switching: with Guaranteed Stability and Sublinear Regret

Jafar Abbaszadeh Chekan, Cédric Langbort

Over-actuated systems often make it possible to achieve specific performances by switching between different subsets of actuators. However, when the system parameters are unknown,…

eess.SY2021

Joint Stabilization and Regret Minimization through Switching in Over-Actuated Systems (extended version)

Jafar Abbaszadeh Chekan, Kamyar Azizzadenesheli, Cedric Langbort

Adaptively controlling and minimizing regret in unknown dynamical systems while controlling the growth of the system state is crucial in real-world applications. In this work, we s…

eess.SY2020★ 1 cited

Regret Bounds for LQ Adaptive Control Under Database Attacks (Extended Version)

Jafar Abbaszadeh Chekan, Cedric Langbort

This paper is concerned with understanding and countering the effects of database attacks on a learning-based linear quadratic adaptive controller. This attack targets neither sens…