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20142026
most citedPerformance and Robustness Analysis of Stochastic Jump Linear Systems using Wasserstein metric

30 citations · 61 across the 30 of their papers we have counts for

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12 papers · 1 filter

eess.SY2022

Convex and Nonconvex Sublinear Regression with Application to Data-driven Learning of Reach Sets

Shadi Haddad, Abhishek Halder

We consider estimating a compact set from finite data by approximating the support function of that set via sublinear regression. Support functions uniquely characterize a compact…

eess.SY2021

Anytime Ellipsoidal Over-approximation of Forward Reach Sets of Uncertain Linear Systems

Shadi Haddad, Abhishek Halder

Computing tight over-approximation of reach sets of a controlled uncertain dynamical system is a common practice in verification of safety-critical cyber-physical systems (CPS). Wh…

eess.SY2021★ 3 cited

The Curious Case of Integrator Reach Sets, Part I: Basic Theory

Shadi Haddad, Abhishek Halder

This is the first of a two part paper investigating the geometry of the integrator reach sets, and the applications thereof. In this Part I, assuming box-valued input uncertainties…

eess.SY2020

Prediction and Optimal Feedback Steering of Probability Density Functions for Safe Automated Driving

Shadi Haddad, Kenneth F. Caluya, Abhishek Halder +1

We propose a stochastic prediction-control framework to promote safety in automated driving by directly controlling the joint state probability density functions (PDFs) subject to…

eess.SY2017

Stability Theory of Stochastic Models in Opinion Dynamics

Zahra Askarzadeh, Rui Fu, Abhishek Halder +2

We consider a certain class of nonlinear maps that preserve the probability simplex, i.e., stochastic maps, that are inspired by the DeGroot-Friedkin model of belief/opinion propag…

eess.SY2016★ 3 cited

Architecture and Algorithms for Privacy Preserving Thermal Inertial Load Management by A Load Serving Entity

Abhishek Halder, Xinbo Geng, P. R. Kumar +1

Motivated by the growing importance of demand response in modern power system's operations, we propose an architecture and supporting algorithms for privacy preserving thermal iner…