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pro vyhledávání: '"Gevers, Michel"'
This paper deals with the design of Excitation and Measurement Patterns (EMPs) for the identification of dynamical networks, when the objective is to identify only a subnetwork embedded in a larger network. Recent results have shown how to construct
Externí odkaz:
http://arxiv.org/abs/2402.14144
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 excited or not all nodes are measured. One key contribution of that paper
Externí odkaz:
http://arxiv.org/abs/2211.10825
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 Acyclic Graph (DAG). In addition to the by now well known condition t
Externí odkaz:
http://arxiv.org/abs/2203.16699
This Letter provides necessary and sufficient conditions on the excitation and measurement pattern (EMP) that guarantee identifiability of a dynamical network that has the structure of a loop. The conditions are extremely simple in their formulation,
Externí odkaz:
http://arxiv.org/abs/2111.01849
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 of the desired transfer function relies on the positive definiteness of
Externí odkaz:
http://arxiv.org/abs/1811.01943
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 external excitation signals and/or unknown noise signals. A major rese
Externí odkaz:
http://arxiv.org/abs/1803.05885
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 possibly excited by known external excitation signals and/or unknown noi
Externí odkaz:
http://arxiv.org/abs/1709.04398
Publikováno v:
Automatica, Vol. 73, pages 88-100, November 2016
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-response-type nonlinear systems is presented. The optimization of the deter
Externí odkaz:
http://arxiv.org/abs/1703.08401
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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 measurements. The main result is that the optimal decision is charact
Externí odkaz:
http://arxiv.org/abs/1110.4355