Nonlinear system identification using heterogeneous multiple models
Rodolfo Orjuela, Benoît Marx, José Ragot, Didier Maquin (2013)
International Journal of Applied Mathematics and Computer Science
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Multiple models are recognised by their abilities to accurately describe nonlinear dynamic behaviours of a wide variety of nonlinear systems with a tractable model in control engineering problems. Multiple models are built by the interpolation of a set of submodels according to a particular aggregation mechanism, with the heterogeneous multiple model being of particular interest. This multiple model is characterized by the use of heterogeneous submodels in the sense that their state...