Optimal state estimation for discrete-time Markovian Jump Linear Systems, in the presence of delayed mode observations. - Ion Matei; Nuno C. Martins; John S. Baras (ACC, 2008)

Almost sure convergence to consensus in Markovian random graphs. - Ion Matei; Nuno C. Martins; John S. Baras (CDC, 2008)

Optimal state estimation for discrete-time Markovian Jump Linear Systems, in the presence of delayed output observations. - Ion Matei; Nuno C. Martins; John S. Baras (ITW, 2008)

Consensus problems with directed Markovian communication patterns. - Ion Matei; Nuno C. Martins; John S. Baras (ACC, 2009)

A composite trust model and its application to collaborative distributed information fusion. - Ion Matei; John S. Baras; Tao Jiang 004 (FUSION, 2009)

Consensus-based distributed linear filtering. - Ion Matei; John S. Baras (CDC, 2010)

Generalized Distributed consensus-based Algorithms for uncertain Systems and Networks. - Ion Matei (2010)

The geometry of a probabilistic consensus of opinion algorithm. - Ion Matei; John S. Baras (ACC, 2011)

Power allocation policy for distributed estimation in wireless networks. - Ion Matei; John S. Baras (CDC/ECC, 2011)

Performance Evaluation of the Consensus-Based Distributed Subgradient Method Under Random Communication Topologies. - Ion Matei; John S. Baras (IEEE J. Sel. Top. Signal Process., 2011)

Optimal State Estimation for Discrete-Time Markovian Jump Linear Systems, in the Presence of Delayed Output Observations. - Ion Matei; John S. Baras (IEEE Trans. Autom. Control., 2011)

A randomized gossip consensus algorithm on convex metric spaces. - Ion Matei; Christoforos Somarakis; John S. Baras (CDC, 2012)

Reachability analysis for linear discrete time set-dynamics driven by random convex compact sets. - Sasa V. Rakovic; Ion Matei; John S. Baras (CDC, 2012)

Consensus-based linear distributed filtering. - Ion Matei; John S. Baras (Autom., 2012)

A linear distributed filter inspired by the Markovian jump linear system filtering problem. - Ion Matei; John S. Baras (Autom., 2012)

Distributed algorithms for optimization problems with equality constraints. - Ion Matei; John S. Baras (CDC, 2013)

Convergence Results for the Linear Consensus Problem under Markovian Random Graphs. - Ion Matei; John S. Baras; Christoforos Somarakis (SIAM J. Control. Optim., 2013)

An extension of the method of multipliers for distributed nonlinear programming. - Ion Matei; John S. Baras; Marzieh Nabi; Tolga Kurtoglu (CDC, 2014)

Distributed nonlinear programming methods for optimization problems with inequality constraints. - Ion Matei; John S. Baras (CDC, 2015)

The Case for a Hybrid Approach to Diagnosis: A Railway Switch. - Ion Matei; Anurag Ganguli; Tomonori Honda 001; Johan de Kleer (DX, 2015)

The Asymptotic Consensus Problem on Convex Metric Spaces. - Ion Matei; John S. Baras (IEEE Trans. Autom. Control., 2015)

A Generalized Gossip Algorithm on Convex Metric Spaces. - Ion Matei; Christoforos Somarakis; John S. Baras (IEEE Trans. Autom. Control., 2015)

Classifying Heart Sound Recordings using Deep Convolutional Neural Networks and Mel-Frequency Cepstral Coefficients. - Jonathan Rubin; Rui Abreu 001; Anurag Ganguli; Saigopal Nelaturi; Ion Matei; Kumar Sricharan (CinC, 2016)

Reachability analysis for linear hybrid set-dynamics driven by random convex compact sets. - Ion Matei; John S. Baras (ACC, 2017)

Towards printing as an electronics manufacturing method: Micro-scale chiplet position control. - Ion Matei; Saigopal Nelaturi; Jeng Ping Lu; Julie A. Bert; Lara S. Crawford; Eugene Chow (ACC, 2017)

Improving state-action space exploration in reinforcement learning using geometric properties. - Ion Matei; Raj Minhas; Johan de Kleer; Anurag Ganguli (CDC, 2017)

Recognizing Abnormal Heart Sounds Using Deep Learning. - Jonathan Rubin; Rui Abreu 001; Anurag Ganguli; Saigopal Nelaturi; Ion Matei; Kumar Sricharan (KDH@IJCAI, 2017)

An Extension of the Systems Modeling Language for Physical Interaction and Signal Flow Simulation. - Conrad Bock; Raphael Barbau; Ion Matei; Mehdi Dadfarnia (Syst. Eng., 2017)

Learning constitutive equations of physical components with constraints discovery. - Ion Matei; Johan de Kleer; Raj Minhas (ACC, 2018)

Analog Implementation of Optimization Algorithms: A Distributed Optimization View. - Ion Matei; Alexander Feldman; Johan de Kleer (CDC, 2018)

Model-based diagnosis: A frequency domain view. - Ion Matei; Alexander Feldman; Johan de Kleer (ICPHM, 2018)

Learning constitutive equations of physical components with predefined feasibility conditions. - Ion Matei; Johan de Kleer; Maksym Zhenirovskyy; Alexander Feldman (ACC, 2019)

Inferring Particle Interaction Physical Models and Their Dynamical Properties. - Ion Matei; Christos N. Mavridis; John S. Baras; Maksym Zhenirovskyy (CDC, 2019)

PI-LSTM: Physics-Infused Long Short-Term Memory Network. - Shubhendu Kumar Singh; Ruoyu Yang; Amir Behjat; Rahul Rai; Souma Chowdhury; Ion Matei (ICMLA, 2019)

Design Space Exploration as Quantified Satisfaction. - Alexander Feldman; Johan de Kleer; Ion Matei (CoRR, 2019)

Analog Accelerator for Simulation and Diagnostics. - Alexander Feldman; Ion Matei; Emil Totev; Johan de Kleer (AAAI, 2020)

Efficient Model-Based Diagnosis of Sequential Circuits. - Alexander Feldman; Ingo Pill; Franz Wotawa; Ion Matei; Johan de Kleer (AAAI, 2020)

Deep Learning for Control: a non-Reinforcement Learning View. - Ion Matei; Raj Minhas; Maksym Zhenirovskyy; Johan de Kleer; Rahul Rai (ACC, 2020)

Learning physical laws: the case of micron size particles in dielectric fluid. - Ion Matei; Maksym Zhenirovskyy; Johan de Kleer; Christoforos Somarakis; John S. Baras (ACC, 2020)

Micro-scale 2D chiplet position control: a formal approach to policy design. - Ion Matei; Johan de Kleer; Christoforos Somarakis; Anne Plochowietz; John S. Baras (CDC, 2020)

A physics-aware learning architecture with input transfer networks for predictive modeling. - Amir Behjat; Chen Zeng; Rahul Rai; Ion Matei; David S. Doermann; Souma Chowdhury (Appl. Soft Comput., 2020)

Hybrid modeling: Applications in real-time diagnosis. - Ion Matei; Johan de Kleer; Alexander Feldman; Rahul Rai; Souma Chowdhury (CoRR, 2020)

Interpretable machine learning models: a physics-based view. - Ion Matei; Johan de Kleer; Christoforos Somarakis; Rahul Rai; John S. Baras (CoRR, 2020)

Micro-scale chiplet assembly control with chiplet-to-chiplet potential interaction. - Ion Matei; Anne Plochowietz; Johan de Kleer; John S. Baras (CDC, 2021)

Semi-linear Poisson-mediated Flocking in a Cucker-Smale Model. - Christos N. Mavridis; Amoolya Tirumalai; John S. Baras; Ion Matei (CoRR, 2021)

Controlling Draft Interactions Between Quadcopter Unmanned Aerial Vehicles with Physics-aware Modeling. - Ion Matei; Chen Zeng; Souma Chowdhury; Rahul Rai; Johan de Kleer (J. Intell. Robotic Syst., 2021)

Improving the Efficiency of Gradient Descent Algorithms Applied to Optimization Problems with Dynamical Constraints. - Ion Matei; Maksym Zhenirovskyy; Johan de Kleer; John Maxwell III (CoRR, 2022)

A Quantum Algorithm for Computing All Diagnoses of a Switching Circuit. - Alexander Feldman; Johan de Kleer; Ion Matei (CoRR, 2022)

2D Density Control of Micro-Particles using Kernel Density Estimation. - Ion Matei; Johan de Kleer; Maksym Zhenirovskyy (ACC, 2023)

AI Enhanced Control Engineering Methods. - Ion Matei; Raj Minhas; Johan de Kleer; Alexander Feldman (CoRR, 2023)

CONSTRUCT: A Program Synthesis Approach for Reconstructing Control Algorithms from Embedded System Binaries in Cyber-Physical Systems. - Ali Shokri 003; Alexandre Perez; Souma Chowdhury; Chen Zeng; Gerald Kaloor; Ion Matei; Peter-Patel Schneider; Akshith Gunasekaran; Shantanu Rane (CoRR, 2023)

A Controlled Mean Field Model for Chiplet Population Dynamics. - Iman Nodozi; Abhishek Halder; Ion Matei (IEEE Control. Syst. Lett., 2023)

Sensitivity-Free Gradient Descent Algorithms. - Ion Matei; Maksym Zhenirovskyy; Johan de Kleer; John Maxwell III (J. Mach. Learn. Res., 2023)

System Resilience through Health Monitoring and Reconfiguration. - Ion Matei; Wiktor Piotrowski; Alexandre Perez; Johan de Kleer; Jorge Tierno; Wendy Mungovan; Vance Turnewitsch (ACM Trans. Cyber Phys. Syst., 2024)