4 papers
Steering the dynamics by controlling the temporal interaction network
Melvyn Tyloo
Many real-world coupled dynamical systems have the interaction structure and strength that evolve or adapt over time. Here, we investigate how one can control the state of a system…
Network Reconstruction in Consensus Algorithms with Hidden Agents
Melvyn Tyloo
Reconstructing the parameters that encode the influence between model variables based on time-series measurements represents an outstanding question in the theory of complex networ…
A Closed-loop Framework to Discriminate Models Using Optimal Control
Laurent Pagnier, Melvyn Tyloo, Akshita Jindal +2
Predicting the response of an observed system to a known input is a fruitful first step to accurately control the system's dynamics. Despite the recent advances in fully data-drive…
Open networks in discrete time: Passing vs blocking behavior
Amirhossein Nazerian, MAlbor Asllani, Melvyn Tyloo +1
This paper presents a unified framework for analyzing the input-output behavior of discrete time complex networks viewed as open systems. Importantly, we focus on systems that are…