7 citations · 13 across the 5 of their papers we have counts for
8 papers
Identifiability of dynamic networks: the essential rôle of dources and dinks
Eduardo Mapurunga, Michel Gevers, Alexandre S. Bazanella
The paper [1] presented the first results on generic identifiability of dynamic networks with partial excitation and partial measurements, i.e. networks where not all nodes are exc…
Excitation and Measurement Patterns for the Identifiability of Directed Acyclic Graphs
Eduardo Mapurunga, Michel Gevers, Alexandre S. Bazanella
This paper deals with the design of Excitation and Measurement Patterns (EMP) for the identification of a class of dynamical networks whose topology has the structure of a Directed…
Necessary and sufficient conditions for the identifiability of isolated loops
Eduardo Mapurunga, Michel Gevers, Alexandre Sanfelice Bazanella
This Letter provides necessary and sufficient conditions on the excitation and measurement pattern (EMP) that guarantee identifiability of a dynamical network that has the structur…
A practical method for the consistent identification of a module in a dynamical network
Michel Gevers, Alexandre Sanfelice Bazanella, Gian Vianna da Silva
We present a new and simple method for the identification of a single transfer function that is embedded in a dynamical network. In existing methods the consistent identification o…
Identifiability of dynamical networks with partial node measurements
Julien M. Hendrickx, Michel Gevers, Alexandre S. Bazanella
Much recent research has dealt with the identifiability of a dynamical network in which the node signals are connected by causal linear transfer functions and are excited by known…
Identifiability of dynamical networks: which nodes need be measured?
Alexandre S. Bazanella, Michel Gevers, Julien M. Hendrickx +1
Much recent research has dealt with the identifiability of a dynamical network in which the node signals are connected by causal linear time-invariant transfer functions and are po…
D-Optimal Input Design for Nonlinear FIR-type Systems:A Dispersion-based Approach
Alexander De Cock, Michel Gevers, Johan Schoukens
Optimal input design is an important step of the identification process in order to reduce the model variance. In this work a D-optimal input design method for finite-impulse-respo…
Sequential Detection with Mutual Information Stopping Cost
Vikram Krishnamurthy, Robert Bitmead, Michel Gevers +1
This paper formulates and solves a sequential detection problem that involves the mutual information (stochastic observability) of a Gaussian process observed in noise with missing…