A nonlinear dynamic process can be described as a composition of several local affine models selected according to the process operating conditions. Such a compound system requires the identification of the local models from data. This work addresses a method for the identification and the optimal selection of the local affine models from a sequence of noisy measurements acquired from the process. The developed technique is applied to the identification of a simulated model
Nonlinear dynamic system modelling in noisy environment using multiple model approach / S., Simani; Fantuzzi, Cesare; R., Rovatti; S., Beghelli. - ELETTRONICO. - 4:(2000), pp. 2332-2336. (Intervento presentato al convegno 2000 American Control Conference tenutosi a Chicago, IL, USA, nel 2000-#jun#~28--30) [10.1109/acc.2000.878596].
Nonlinear dynamic system modelling in noisy environment using multiple model approach
FANTUZZI, Cesare;
2000
Abstract
A nonlinear dynamic process can be described as a composition of several local affine models selected according to the process operating conditions. Such a compound system requires the identification of the local models from data. This work addresses a method for the identification and the optimal selection of the local affine models from a sequence of noisy measurements acquired from the process. The developed technique is applied to the identification of a simulated model
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