Change search
ReferencesLink to record
Permanent link

Direct link
Inversion of nonlinear stochastic models for parameter estimation
KTH, Superseded Departments, Signals, Sensors and Systems. (Reglerteknik)
KTH, Superseded Departments, Signals, Sensors and Systems. (Reglerteknik)ORCID iD: 0000-0002-9368-3079
2000 (English)In: Proceedings of the IEEE Conference on Decision and Control, 2000, Vol. 2, 1591-1596 p.Conference paper (Refereed)
Abstract [en]

Prediction error and maximum likelihood estimation of nonlinear stochastic models requires inversion of the model, a step which may require substantial efforts, either in terms of manual calculations or through the use of software capable of symbolic computations. In this paper we show that model inversion can be easily implemented in numerical software such as, e.g., Simulink and Matrixx, by means of a feedback connection based on the model. We derive sufficient conditions for the existence of a stable causal inverse as well as sufficient conditions for the initial transient to decay. These conditions are given in terms of properties for a linear time-varying system associated with the nonlinear model. The method is illustrated on a numerical example.

Place, publisher, year, edition, pages
2000. Vol. 2, 1591-1596 p.
Keyword [en]
Discrete time control systems, Mathematical models, Maximum likelihood estimation, Nonlinear control systems, Probability density function, Stochastic control systems, Model inversion, Nonlinear stochastic models, Parameter estimation
National Category
Control Engineering
Research subject
URN: urn:nbn:se:kth:diva-28539DOI: 10.1109/CDC.2000.912087OAI: diva2:387558
39th IEEE Confernce on Decision and Control; Sydney, NSW; 12 December 2000 through 15 December 2000
QC 20110114 NR 20140804Available from: 2011-01-14 Created: 2011-01-14 Last updated: 2012-01-13Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Markusson, OlaHjalmarsson, Håkan
By organisation
Signals, Sensors and Systems
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 17 hits
ReferencesLink to record
Permanent link

Direct link