This paper describes a new kernel-based approach for linear system identification of stable systems. We model the impulse response as the realization of a Gaussian process whose s...
This paper addresses robust deconvolution filtering when the system and noise dynamics are obtained by parametric system identification. Consistent with standard identification me...
We propose a class of discrete-time dynamic average consensus algorithms that allow a group of agents to track the average of their reference inputs. The convergence results rely ...
This paper considers the average consensus problem on a network of digital links, and proposes algorithms based on pairwise "gossip" communications and updates. Through ...
Ruggero Carli, Fabio Fagnani, Paolo Frasca, Sandro...
Based on the linear expression of the dynamics of Boolean networks, the coordinate transformation of Boolean variables is defined. It follows that the state space coordinate trans...
In this paper we derive a set of constraints that are sufficient to guarantee maintained connectivity in a leader-follower multiagent network with proximity based communication to...
Tove Gustavi, Dimos V. Dimarogonas, Magnus Egerste...
This article presents an approach to path following control design based on transverse feedback linearization. A "transversal" controller is designed to drive the output...
Christopher Nielsen, Cameron Fulford, Manfredi Mag...
: The standard continuous time state space model with stochastic disturbances the mathematical abstraction of continuous time white noise. To work with well defined, discrete time ...