Identification of nonlinear systems having hard function
Optimization and estimation of nonlinear systems having discontinuous nonlinearity
DOI:
https://doi.org/10.25728/assa.2019.19.1.632Keywords:
Nonlinear systems, linear system, static and dynamic systems, control system, system identification, discontinuous nonlinearity, hard element.Abstract
In this work, an identification approach of nonlinear systems is studied. Presently, the nonlinear system can be described by Wiener-Hammerstein model. This latter is composed of a nonlinearity surrounded by two linear blocks. The linear blocks can be nonparametric. The nonlinear element is allowed to be discontinuous, specifically it can be of hard element (e.g. Preload, Coulomb friction, Dead-zone). Roughly, it is very difficult to model these types of nonlinearities by orthogonal decompositions (e.g. polynomial).
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Published
2019-04-15
How to Cite
Brouri, A., Rabyi, T., & Ouannou, A. (2019). Identification of nonlinear systems having hard function: Optimization and estimation of nonlinear systems having discontinuous nonlinearity. Advances in Systems Science and Applications, 19(1), 61–74. https://doi.org/10.25728/assa.2019.19.1.632
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