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On the use of gap metric for model selection in multilinear model-based control

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4 Author(s)
Galan, O. ; Lab. of Process Syst. Eng., Sydney Univ., NSW, Australia ; Romagnoli, J.A. ; Arkun, Y. ; Palazoglu, A.

One way to design the control of a nonlinear system is to use a set of linear models that are close to the nonlinear system. This gives rise to a need to define the concept of closeness. Since systems can be visualized as input-output operators, a natural distance concept would be the induced operator norm. Yet, the norm cannot be generalized as a distance measure. The aim of this paper is to discuss the application of a distance measure between systems, the gap metric, in order to select a reduced set of models that contain nonredundant process information for robust stabilization of feedback systems based on multimodel controller design

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American Control Conference, 2000. Proceedings of the 2000  (Volume:6 )

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