- Title
- Application of rank-constrained optimisation to nonlinear system identification
- Creator
- Delgado, Ramón A.; Agüero, Juan C.; Goodwin, Graham C.; Mendes, Eduardo M. A. M.
- Relation
- 1st IFAC Conference on Modelling, Identification and Control of Nonlinear Systems (MICNON 2015). Proceedings of the 1st IFAC Conference on Modelling, Identification and Control of Nonlinear Systems [presented in IFAC-PapersOnLine, Vol. 48, No. 11] (Saint Petersburg, Russia 24-26 June, 2015) p. 814-818
- Publisher Link
- http://dx.doi.org/10.1016/j.ifacol.2015.09.290
- Publisher
- International Federation of Automatic Control (IFAC)
- Resource Type
- conference paper
- Date
- 2015
- Description
- Nonlinear System identification has a rich history spanning at least 5 decades. A very flexible approach to this problem depends upon the use of Volterra series expansions. Related work includes Hammerstein models, where a static nonlinearity is followed by a linear dynamical system, and Wiener models, where a static nonlinearity is inserted after a linear dynamical model. A problem with these methods is that they inherently depend upon series type expansions and hence it is difficult to know which terms should be included. In this paper we present a possible solution to this problem using recent results on rank-constrained optimization. Simulation results are included to illustrate the efficacy of the proposed strategy.
- Subject
- nonlinear system identification; Volterra series expansions; nonlinearity
- Identifier
- http://hdl.handle.net/1959.13/1319594
- Identifier
- uon:23912
- Identifier
- ISSN:2405-8963
- Language
- eng
- Full Text
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