NDLI: Estimation of gramian-based interaction measures for weakly nonlinear systems

Content Provider	IEEE Xplore Digital Library
Author	Arranz, M.C. Birk, W.
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci., Lulea Univ. of Technol., Lulea, Sweden (Arranz, M.C.; Birk, W.)
Abstract	A critical step in the control design of industrial processes is the Control Configuration Selection (CCS), where each actuator is grouped with a set of measurements to be used in the computation of its control action. Tools for CCS include gramian-based Interaction Measures (IMs), initially defined for linear systems. Since a trending research topic is the derivation of IMs for nonlinear systems, a decision of the designer is therefore the approach to the problem in the linear or nonlinear framework. For this end, a method is discussed that determines the degree of nonlinearity of a system based on a specially tailored experiment, and thus enables the selection of the correct framework for the analysis. The novelty is in the estimation of two gramian-based IMs with confidence bounds from the tailored experiment which is applicable if the process is revealed to be weakly nonlinear.
Starting Page	2438
Ending Page	2443
File Size	446383
Page Count	6
File Format	PDF
e-ISBN	9783952426937
DOI	10.1109/ECC.2015.7330904
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-15
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	EUCA
Subject Keyword	Linear systems Uncertainty Estimation Robustness MIMO Complexity theory
Content Type	Text
Resource Type	Article

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