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12/18/2021
Distributed design of deterministic discrete-time privacy preserving average consensus for multi-agent systems through network augmentation
Average consensus protocols emerge with a central role in distributed sy...
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06/23/2020
A Dynamical Systems Approach for Convergence of the Bayesian EM Algorithm
Out of the recent advances in systems and control (S&C)-based analysis o...
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06/15/2020
Equilibrium Propagation for Complete Directed Neural Networks
Artificial neural networks, one of the most successful approaches to sup...
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03/03/2019
Analysis of Gradient-Based Expectation-Maximization-Like Algorithms via Integral Quadratic Constraints
The Expectation-Maximization (EM) algorithm is one of the most popular m...
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11/02/2018
Learning Latent Fractional dynamics with Unknown Unknowns
Despite significant effort in understanding complex systems (CS), we lac...
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10/04/2018
Convergence of the Expectation-Maximization Algorithm Through Discrete-Time Lyapunov Stability Theory
In this paper, we propose a dynamical systems perspective of the Expecta...
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06/17/2018
Approximate Submodular Functions and Performance Guarantees
We consider the problem of maximizing non-negative non-decreasing set fu...
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03/27/2018
Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis
Brain interfaces are cyber-physical systems that aim to harvest informat...
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03/10/2018
Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs
This paper focuses on analysis and design of time-varying complex networ...
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01/17/2018
On the Limited Communication Analysis and Design for Decentralized Estimation
This paper pertains to the analysis and design of decentralized estimati...
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02/08/2017