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20092026
most citedRegularization Techniques for Learning with Matrices

160 citations · 1.5k across the 122 of their papers we have counts for

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eess.SY2019

Randomized Algorithms for Data-Driven Stabilization of Stochastic Linear Systems

Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis

Data-driven control strategies for dynamical systems with unknown parameters are popular in theory and applications. An essential problem is to prevent stochastic linear systems be…

eess.SY2018

Input Perturbations for Adaptive Control and Learning

Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis

This paper studies adaptive algorithms for simultaneous regulation (i.e., control) and estimation (i.e., learning) of Multiple Input Multiple Output (MIMO) linear dynamical systems…

eess.SY2018★ 1 cited

Finite Time Adaptive Stabilization of LQ Systems

Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis

Stabilization of linear systems with unknown dynamics is a canonical problem in adaptive control. Since the lack of knowledge of system parameters can cause it to become destabiliz…

eess.SY2018

On Adaptive Linear-Quadratic Regulators

Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis

Performance of adaptive control policies is assessed through the regret with respect to the optimal regulator, which reflects the increase in the operating cost due to uncertainty…

eess.SY2017

Optimism-Based Adaptive Regulation of Linear-Quadratic Systems

Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis

The main challenge for adaptive regulation of linear-quadratic systems is the trade-off between identification and control. An adaptive policy needs to address both the estimation…

eess.SY2017★ 3 cited

Finite Time Identification in Unstable Linear Systems

Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis

Identification of the parameters of stable linear dynamical systems is a well-studied problem in the literature, both in the low and high-dimensional settings. However, there are h…