Jackeline Abad Torres

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We examine linear network dynamics in which an input can be applied at only one network component and measurements can only be made at one (in general different) component. The infinite-zeroand finite-invariant-zerostructure of these dynamics are characterized explicitly in terms of the network’s graph matrix, using the special coordinate basis for linear(More)
We examine the effect of having multiple observations in the estimation of non–random modes of linear dynamical systems from noisy impulse response data. Specifically, for this estimation problem, we develop an explicit algebraic characterization of the Fisher information matrix and hence Cramer-Rao bound in terms of the eigenvalues and residues of the(More)
We study the detection of link failures in network synchronization processes. In particular, for a canonical linear network synchronization model, we consider detection of a critical link's failure by a monitor that makes noisy local measurements of the process. We characterize Maximum A-Posteriori (MAP) detection of the link failure, for both the case that(More)
The control of dynamical processes in networks is considered, in the case where measurement and actuation capabilities are sparse and possibly remote. Specifically, we study control of a canonical network dynamics, when only one network component’s state can be measured and only one (in general different) component can be actuated. To do so, we characterize(More)
Sparse resource allocation to shape a network dynamical process is studied. Specifically, we consider allocating limited distributed control resources among a subset of a network’s components, to minimize the dominant eigenvalue of a linear dynamical process associated with the network. Structural characterizations of the closed-loop dynamics at the optimum(More)