On Identification of Dynamical Structure Functions: A Sparse Bayesian Learning Approach

arXiv: Systems and Control, Volume abs/1605.09543, 2016.

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Abstract:

This paper considers the identification of linear time-invariant networks, also known as dynamic structure functions. Assuming identifiability of the network addressed in previous work, this paper presents an identification method that infers both the Boolean structure of the network and the transfer functions between nodes. The identific...More

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