A nonlinear correlation-based index to measure independence of sub models in multi-objective identification of MIMO LPV systems
by Daniel Chuk; Gustavo Rodríguez Medina; Enrique Antonio Núñez; Luis V. Gutiérrez; Juan Pedro Gil
International Journal of Modelling, Identification and Control (IJMIC), Vol. 26, No. 1, 2016

Abstract: A quality index for linear parameter varying (LPV) systems is presented. The purpose of the index is to increase the degree of independence of submodels that contribute to the same output in multiple input multiple output (MIMO) systems and in the usual case where the model parameters depend on filtered versions of the inputs. The importance of the designed index is practically verified in the identification of a nonlinear process with two inputs and two outputs by means of multi-objective optimisation.

Online publication date: Thu, 14-Jul-2016

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