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20182026
most citedOn the Robustness of Data-Driven Controllers for Linear Systems

4 citations · 9 across the 15 of their papers we have counts for

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math.OC2020★ 1 cited

Network Theoretic Analysis of Maximum a Posteriori Detectors for Optimal Input Detection

Rajasekhar Anguluri, Vaibhav Katewa, Sandip Roy +1

This paper considers maximum-a-posteriori (MAP) and linear discriminant based MAP detectors to detect changes in the mean and covariance of a stochastic input, driving specific net…

math.OC2019

Accuracy Prevents Robustness in Perception-based Control

Abed AlRahman Al Makdah, Vaibhav Katewa, Fabio Pasqualetti

In this paper we prove the existence of a fundamental trade-off between accuracy and robustness in perception-based control, where control decisions rely solely on data-driven, and…

math.OC2019

Centralized Versus Decentralized Detection of Attacks in Stochastic Interconnected Systems

Rajasekhar Anguluri, Vaibhav Katewa, Fabio Pasqualetti

We consider a security problem for interconnected systems governed by linear, discrete, time-invariant, stochastic dynamics, where the objective is to detect exogenous attacks by p…

math.OC2019

Data-Driven Minimum-Energy Controls for Linear Systems

Giacomo Baggio, Vaibhav Katewa, Fabio Pasqualetti

In this paper we study the problem of computing minimum-energy controls for linear systems from experimental data. The design of open-loop minimum-energy control inputs to steer a…

math.OC2018

Minimum-gain Pole Placement with Sparse Static Feedback

Vaibhav Katewa, Fabio Pasqualetti

The minimum-gain eigenvalue assignment/pole placement problem (MGEAP) is a classical problem in LTI systems with static state feedback. In this paper, we study the MGEAP when the s…