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PROFILE:

 

Ion Matei

Ion Matei’s research interests revolve around modeling, analysis, and design of dynamical systems. His early research focused on designing and analyzing distributed algorithms for optimization, estimation and control. Such algorithms are at the core of many autonomous systems applications including UAV formation control, sensor networks for tracking, or power grid monitoring. In his most recent work, Ion is involved in reliability and diagnosis studies for cyber-physical systems, developing failure mechanisms models for physical components.

Prior to joining PARC, Ion was a research scientist with the Institute for Systems Research at the University of Maryland, College Park, and a guest researcher at the National Institute of Standards and Technology in Gaithersburg, MD. As part of the Systems Engineering group at NIST, Ion contributed to the development of standards for modeling cyber-physical systems, with emphasis on representation of hybrid dynamical systems.

Dr. Matei received his B.S. and M.S. in Electrical Engineering from the Politehnica University of Bucharest Romania in 2002 and 2003 respectively, and M.S. and Ph.D. in Electrical Engineering from the University of Maryland, College Park in 2009 and 2010 respectively. He has published over 35 peer-reviewed articles and papers in leading journals and conferences in control, optimization, and signal processing. Ion is a member of the IEEE society and he regularly performs peer reviews for top-tier international journals on Control and Signal Processing journals, such as IEEE Transactions on Automatic Control and Elsevier’s Automatica. For his research contributions, he received the NIST-ARRA fellowship award (2011) and the Werner Von Siemens Excellency award (2003). Ion enjoys outdoors activities, especially biking and hiking. 

 

PARC publications

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2014

A Simulation and Modeling based Reliability Requirement Assessment Methodology

26th International Conference on Design Theory and Methodology (DTM)

17 August 2014

Model-Based Approach for Optimal Maintenance Strategy

Second European Conference of the Prognostics and Health Management Society 2014

8 July 2014

 

 

 

other publications

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2013

The Asymptotic Consensus Problem on Convex Metric Spaces

I. Matei and J.S. Baras IEEE Transactions on Automatic Control

Convergence results for the linear consensus problem under Markovian random graphs

I. Matei, J.S. Baras and C. Somarakis SIAM Journal on Control and Optimization

Flow Control in Time-Varying Supply Chains

I. Matei, A. Gueye and J.S. Baras Journal of Transportation Research Part E: Logistics and Transportation Review

2012

Consensus-Based Distributed Filtering

I .Matei and J.S. Baras Automatica

A Linear Distributed Filter Inspired by the Markovian Jump Linear System Filtering Problem

I .Matei and J.S. Baras Automatica

Trust-based multi-agent filtering for increased Smart Grid security

Matei Ion; Baras John S; Srinivasan Vijay. Control \& Automation (MED) 2012 20th Mediterranean Conference on; 716--721.

2012

Reachability analysis for linear discrete time set-dynamics driven by random convex compact sets

Rakovic Sasa V; Matei Ion; Baras John S. Decision and Control (CDC) 2012 IEEE 51st Annual Conference on; 4751--4756.

2012

Consensus-based linear distributed filtering

Matei Ion; Baras John S. Automatica. 2012;

2012

2011

Convergence results for the agreement problem on Markovian random topologies

Matei Ion; Baras John S. IFAC World Congress Milan Italy. 2011;

2011

The geometry of a probabilistic consensus of opinion algorithm

Matei Ion; Baras John S. American Control Conference (ACC) 2011; 2198--2203.

2011

Power allocation policy for distributed estimation in wireless networks

Matei Ion; Baras John S. Decision and Control and European Control Conference (CDC-ECC) 2011 50th IEEE Conference on; 7275--7280.

2011

Optimal State Estimation for Discrete-Time Markovian Jump Linear Systems in the Presence of Delayed Output Observations

Matei Ion; Baras John S. Automatic Control IEEE Transactions on. 2011; 56 (9): 2235--2240.

2011

Performance evaluation of the consensus-based distributed subgradient method under random communication topologies

Matei Ion; Baras John S. Selected Topics in Signal Processing IEEE Journal of. 2011; 5 (4): 754--771.

2011

2010

A trust based distributed Kalman filtering approach for mode estimation in power systems

Jiang Tao; Matei I; Baras JS. Proc. of the First Workshop on Secure Control Systems. 2010;

2010

Consensus-based distributed linear filtering

Matei Ion; Baras John S. Decision and Control (CDC) 2010 49th IEEE Conference on; 7009--7014.

2010

2009

Consensus problems with directed Markovian communication patterns

Matei Ion; Martins Nuno C; Baras John S. American Control Conference 2009. ACC 09.; 1298--1303.

2009

A composite trust model and its application to collaborative distributed information fusion

Matei Ion; Baras John S; Jiang Tao. Information Fusion 2009. FUSION 09. 12th International Conference on; 1950--1957.

2009

2008

Almost sure convergence to consensus in Markovian random graphs

Matei Ion; Martins Nuno; Baras John S. Decision and Control 2008. CDC 2008. 47th IEEE Conference on; 3535--3540.

2008

Optimal state estimation for discrete-time Markovian jump linear systems in the presence of delayed mode observations

Matei Ion; Martins Nuno C; Baras John S. American Control Conference 2008; 3560--3565.

2008

Optimal linear quadratic regulator for Markovian jump linear systems in the presence of one time-step delayed mode observations

Matei Ion; Martins N; Baras J. Proceedings of the 17th IFAC world congress. 2008; : 8056--8061.

2008