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20172024
most citedDistributed Estimation Recovery under Sensor Failure

36 citations · 48 across the 10 of their papers we have counts for

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6 papers · 1 filter

eess.SY2024

Survey of Distributed Algorithms for Resource Allocation over Multi-Agent Systems

Mohammadreza Doostmohammadian, Alireza Aghasi, Mohammad Pirani +5

Resource allocation and scheduling in multi-agent systems present challenges due to complex interactions and decentralization. This survey paper provides a comprehensive analysis o…

eess.SY2023

D-SVM over Networked Systems with Non-Ideal Linking Conditions

Mohammadreza Doostmohammadian, Alireza Aghasi, Houman Zarrabi

This paper considers distributed optimization algorithms, with application in binary classification via distributed support-vector-machines (D-SVM) over multi-agent networks subjec…

eess.SY2021

Distributed Detection and Mitigation of Biasing Attacks over Multi-Agent Networks

Mohammadreza Doostmohammadian, Houman Zarrabi, Hamid R. Rabiee +2

This paper proposes a distributed attack detection and mitigation technique based on distributed estimation over a multi-agent network, where the agents take partial system measure…

eess.SY2017★ 36 cited

Distributed Estimation Recovery under Sensor Failure

Mohammadreza Doostmohammadian, Hamid R. Rabiee, Houman Zarrabi +1

Single time-scale distributed estimation of dynamic systems via a network of sensors/estimators is addressed in this letter. In single time-scale distributed estimation, the two fu…

eess.SY2017

Observational Equivalence in System Estimation: Contractions in Complex Networks

Mohammadreza Doostmohammadian, Hamid R. Rabiee, Houman Zarrabi +1

Observability of complex systems/networks is the focus of this paper, which is shown to be closely related to the concept of contraction. Indeed, for observable network tracking it…

eess.SY2017★ 10 cited

Sensor Selection Cost Optimization for Tracking Structurally Cyclic Systems: a P-Order Solution

Mohammadreza Doostmohammadian, Houman Zarrabi, Hamid R. Rabiee

Measurements and sensing implementations impose certain cost in sensor networks. The sensor selection cost optimization is the problem of minimizing the sensing cost of monitoring…