Identification of nonlinear systems having hard function

Optimization and estimation of nonlinear systems having discontinuous nonlinearity

Authors

  • Adil Brouri ENSAM, IMSM, L2MC Lab, Moulay Ismail University Sciences
  • Tarik Rabyi ENSAM, IMSM, L2MC Lab, Moulay Ismail University Sciences
  • Abdelmalek Ouannou ENSAM, IMSM, L2MC Lab, Moulay Ismail University Sciences

DOI:

https://doi.org/10.25728/assa.2019.19.1.632

Keywords:

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