Maryam Babazadeh
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View article: Model-Free Dynamic Consensus in Multi-Agent Systems: A Q-Function Perspective
Model-Free Dynamic Consensus in Multi-Agent Systems: A Q-Function Perspective Open
This paper presents a new method for achieving dynamic consensus in linear discrete-time homogeneous multi-agent systems (MAS) with marginally stable or unstable dynamics. The guarantee of consensus in this setting involves a set of constr…
View article: Tensor Invariant Data-Assisted Control and Dynamic Decomposition of Multibody Systems
Tensor Invariant Data-Assisted Control and Dynamic Decomposition of Multibody Systems Open
The control of robotic systems in complex, shared collaborative workspaces presents significant challenges in achieving robust performance and safety when learning from experienced or simulated data is employed in the pipeline. A primary b…
View article: Closed-Form Solutions for Control of Calcium Carbonate Precipitation
Closed-Form Solutions for Control of Calcium Carbonate Precipitation Open
We develop a control-oriented model for manipulating calcium carbonate (CaCO3) precipitation through pH and/or dissolved CO2(aq) adjustments in a semi-batch process. We present two open-loop control strategies: first, a closed-form optimal…
View article: Particle Filter Optimization: A Bayesian Approach for Global Stochastic Optimization
Particle Filter Optimization: A Bayesian Approach for Global Stochastic Optimization Open
This paper proposes a novel global optimization algorithm, Particle Filter-Based Optimization (PFO), designed for a class of stochastic optimization problems in which the objective function lacks an analytical form and is subject to noisy …
View article: Statistical Modeling of Ad Campaigns in Online Advertising Systems
Statistical Modeling of Ad Campaigns in Online Advertising Systems Open
In this paper, statistical modeling of online advertising systems is addressed.The proposed model relies on the highest bidding price estimation in an auction network and the clickthrough rate estimation of the ad campaign.The estimation p…
View article: Gramian‐based vulnerability analysis of dynamic networks
Gramian‐based vulnerability analysis of dynamic networks Open
In this paper, the vulnerability of large‐dimensional dynamic networks to false data injections is analysed. The malicious data can manipulate input injection at the control nodes and affect the outputs of the network. The objective is to …