Volterra-type models for nonlinear systems identification

C. SCHMIDT; BIAGIOLA, S.I.; COUSSEAU, J.E.; FIGUEROA, J.L.

APPLIED MATHEMATICAL MODELLING

ELSEVIER SCIENCE INC

Lugar: Amsterdam; Año: 2014 vol. 38 p. 2414 - 2421

0307-904X

In this work, multi-input multi-output (MIMO) nonlinear process identification is dealt with. In particular, two Volterra-type models are discussed in the context of system identification.These models are: Memory Polynomial (MP) and Modified Generalized MemoryPolynomial (MGMP), which can be considered as a generalization of Hammerstein andWiener models, respectively. Both of them are appealing representations as they allow to describe larger model sets with less parametric complexity. Simulation example is given to illustrate the quality of the obtained models.