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Nonlinear System Identification. A User-Oriented Roadmap.

Boekbijdrage - Boekhoofdstuk Conferentiebijdrage

Nonlinear system identification comes into the picture where linear system identification fails to address the users questions. The real world is nonlinear and time-varying, and in some applications these aspects can be no longer ignored so that linear models become imprecise, or do not reproduce essential aspects of the behavior of the system under test.

Nonlinear system identification is much more involved than the identification of linear systems. The experiment design is more tedious, the model structure selection is much more involved, and the parameter estimation is more difficult. For that reason, moving from the well established linear identification tools towards the more advanced nonlinear system identification methods is an important user decision that should be well informed because it significantly affects the cost of the identification process (time, money, experimental resources). Is a nonlinear model needed to reach the required model quality? Is the quality of the data good enough to improve the results of a linear identification approach? How much can be gained if a linear model is replaced by a nonlinear one? These questions will be addressed at the start of the presentation.

Next, an overview of the nonlinear system identification process is given, focusing on an intuitive understanding of the problems and the solutions, guiding the user along the wide range of choices to be made in nonlinear system identification. Essential differences with linear system identification will be highlighted. The complete identification process will be covered, including aspects on experiment design, model structure selection, the choice of the cost function, and model validation. The main ideas will be illustrated on simulations and experiments.
Boek: 18th IFAC Symposium on System Identification, SYSID 2018, Stockholm, Sweden
Pagina's: 1-60
Jaar van publicatie:2018
  • ORCID: /0000-0003-0492-6137/work/101365454