Abstract This paper is concerned with the cooperative output regulation problem for a network of agents different dynamics described by parabolic PDEs subject to spatially- and time-varying parameters. Firstly, networked controller designed achieving synchronization identical finite-dimensional reference models, which deliver state global model required agents. The latter can be local disturban...

Anomaly and event detection has been studied widely for having many applications in fraud detection, network intrusion detection, detection of epidemic outbreaks, and so on. In this paper we propose an algorithm that operates on a time-varying network of agents with edges representing interactions between them and (1) spots "anomalous" points in time at which many agents "change" their behavior...

We consider a min-max optimization problem over a time-varying network of computational agents, where each agent in the network has its local convex cost function which is a private knowledge of the agent. The agents want to jointly minimize the maximum cost incurred by any agent in the network, while maintaining the privacy of their objective functions. To solve the problem, we consider subgra...

We consider the quantized consensus problem on undirected connected graphs with n nodes, and devise a protocol with fast convergence time to the set of consensus points. Specifically, we show that when the edges of a static network are activated based on Poisson processes with Metropolis rates, the expected convergence time to the set of consensus points is at most O(n logn). We further show an...

To quantify the fundamental evolution of time-varying networks, and detect abnormal behavior, one needs a notion of temporal difference that captures significant organizational changes between two successive instants. In this work, we propose a family of distances that can be tuned to quantify structural changes occurring on a graph at different scales: from the local scale formed by the neighb...