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20162026
most citedData-Driven Reachability Analysis from Noisy Data

63 citations · 122 across the 63 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.CR2021

Privacy Guarantees for Cloud-based State Estimation using Partially Homomorphic Encryption

Sawsan Emad, Amr Alanwar, Yousra Alkabani +3

The privacy aspect of state estimation algorithms has been drawing high research attention due to the necessity for a trustworthy private environment in cyber-physical systems. The…

eess.SY2021

Data-driven Set-based Estimation of Polynomial Systems with Application to SIR Epidemics

Amr Alanwar, Muhammad Umar B. Niazi, Karl H. Johansson

This paper proposes a data-driven set-based estimation algorithm for a class of nonlinear systems with polynomial nonlinearities. Using the system's input-output data, the proposed…

cs.RO2021

Enhancing Data-Driven Reachability Analysis using Temporal Logic Side Information

Amr Alanwar, Frank J. Jiang, Maryam Sharifi +2

This paper presents algorithms for performing data-driven reachability analysis under temporal logic side information. In certain scenarios, the data-driven reachable sets of a rob…

eess.SY2021★ 63 cited

Data-Driven Reachability Analysis from Noisy Data

Amr Alanwar, Anne Koch, Frank Allgöwer +1

We consider the problem of computing reachable sets directly from noisy data without a given system model. Several reachability algorithms are presented for different types of syst…

eess.SY2021

Set-Membership Estimation in Shared Situational Awareness for Automated Vehicles in Occluded Scenarios

Vandana Narri, Amr Alanwar, Jonas Mårtensson +3

One of the main challenges in developing autonomous transport systems based on connected and automated vehicles is the comprehension and understanding of the environment around eac…

eess.SY2021

Robust Data-Driven Predictive Control using Reachability Analysis

Amr Alanwar, Yvonne Stürz, Karl Henrik Johansson

We present a robust data-driven control scheme for an unknown linear system model with bounded process and measurement noise. Instead of depending on a system model in traditional…

eess.SY2021

Data-Driven Set-Based Estimation using Matrix Zonotopes with Set Containment Guarantees

Amr Alanwar, Alexander Berndt, Karl Henrik Johansson +1

We propose a method to perform set-based state estimation of an unknown dynamical linear system using a data-driven set propagation function. Our method comes with set-containment…