It is proved that the presented protocol can achieve fixed-time average consensus for multi-agent system with interaction topology modeled as undirected and directed graph.
All the real-world networks are modeled as undirected graphs.
Molecular networks in general can be modeled as undirected graphs, whose nodes and edges represent proteins and interactions, respectively.
The interconnection topology between the agents is modeled as an undirected multi-graph with self-loop, where each system is a node and the control action at each node is a function of its state and the states of its neighbors.
Initiation: the MD simulation is modeled as an undirected graph by placing an edge with weight 1 from each data point to its six nearest Euclidean neighbors in the QAA space.
The problem is modeled on an undirected graph and cast as an integer linear program.
In this step, each protein-protein interface is modeled as an undirected node-labeled edge-labeled graph G V,E).
A more accurate latent topic-based image characterization can be obtained with undirected topic models.
While this distinction gets blurred when inference is conducted with undirected graphical models, Bayesian networks provide an obvious incentive for taking it into account.
Currently, our network modeling only considers undirected edges among genes.
