Identiļ¬cation of block oriented models with parallel structures for nonlinear systems Vrije Universiteit Brussel
Linear models are very popular to model physical systems. But they fail when a wide operating range needs to be modeled. Then, nonlinear models are mostly needed to obtain a sufficient accuracy. One type of nonlinear models that combines flexibility and parsimonity, are the block-oriented nonlinear models.
We propose a new identification framework for nonlinear systems, based on a parallel-branch block oriented model structure, ...
We propose a new identification framework for nonlinear systems, based on a parallel-branch block oriented model structure, ...