We consider the role of topological dimension in problems of network consensus and vehicular formations where only local feedback is available. In particular, we consider the simpl...
Bassam Bamieh, Mihailo R. Jovanovic, Partha P. Mit...
Port-based network modeling of physical systems leads to a model class of nonlinear systems known as port-Hamiltonian systems. Port-Hamiltonian systems are defined with respect t...
J. Cervera, A. J. van der Schaft, Alfonso Ba&ntild...
For simulations of large spiking neuron networks, an accurate, simple and versatile single-neuron modeling framework is required. Here we explore the versatility of a simple two-eq...
Richard Naud, Nicolas Marcille, Claudia Clopath, W...
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
We optimally place intrusion detection system (IDS) sensors and prioritize IDS alerts using attack graph analysis. We begin by predicting all possible ways of penetrating a networ...