15 citations · 22 across the 13 of their papers we have counts for
7 papers · 1 filter
A Frequency Domain Analysis of Slow Coherency in Networked Systems
Hancheng Min, Richard Pates, Enrique Mallada
Network coherence generally refers to the emergence of simple aggregated dynamical behaviours, despite heterogeneity in the dynamics of the subsystems that constitute the network.…
Learning Coherent Clusters in Weakly-Connected Network Systems
Hancheng Min, Enrique Mallada
We propose a structure-preserving model-reduction methodology for large-scale dynamic networks with tightly-connected components. First, the coherent groups are identified by a spe…
Spectral clustering and model reduction for weakly-connected coherent network systems
Hancheng Min, Enrique Mallada
We propose a novel model-reduction methodology for large-scale dynamic networks with tightly-connected components. First, the coherent groups are identified by a spectral clusterin…
Learning to Act Safely with Limited Exposure and Almost Sure Certainty
Agustin Castellano, Hancheng Min, Juan Bazerque +1
This paper puts forward the concept that learning to take safe actions in unknown environments, even with probability one guarantees, can be achieved without the need for an unboun…
Coherence and Concentration in Tightly-Connected Networks
Hancheng Min, Richard Pates, Enrique Mallada
The ability to achieve coordinated behavior -- engineered or emergent -- on networked systems has attracted widespread interest over several fields. This interest has led to remark…
Accurate Reduced-Order Models for Heterogeneous Coherent Generators
Hancheng Min, Fernando Paganini, Enrique Mallada
We introduce a novel framework to approximate the aggregate frequency dynamics of coherent generators. By leveraging recent results on dynamics concentration of tightly connected n…
Dynamics Concentration of Large-Scale Tightly-Connected Networks
Hancheng Min, Enrique Mallada
The ability to achieve coordinated behavior --engineered or emergent-- on networked systems has attracted widespread interest over several fields. This has led to remarkable advanc…