An All-Interaction Matrix Approach to Linear and Bilinear System Identification

Minh Q. Phan (), Francesco Vicario (), Richard W. Longman () and Raimondo Betti ()
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Minh Q. Phan: Dartmouth College, Thayer School of Engineering
Francesco Vicario: Philips Research
Richard W. Longman: Columbia University, Department of Mechanical Engineering
Raimondo Betti: Columbia University, Department of Civil Engineering and Engineering Mechanics

A chapter in Modeling, Simulation and Optimization of Complex Processes HPSC 2015, 2017, pp 165-177 from Springer

Abstract: Abstract This paper is a brief introduction to the interaction matrices. Originally formulated as a parameter compression mechanism, the interaction matrices offer a unifying framework to treat a wide range of problems in system identification and control. We retrace the origin of the interaction matrices, and describe their applications in selected problems in system identification.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-67168-0_14

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DOI: 10.1007/978-3-319-67168-0_14

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