Parametric and State Estimation of Nonlinear Systems 15

Transcription

Parametric and State Estimation of Nonlinear Systems 15
15th International conference on Sciences and Techniques of
Automatic control & computer engineering − STA′2014 December 21-23, 2014, Hammamet, Tunisia
Invited Session on
Parametric and State Estimation
of Nonlinear Systems
organized by
Ridha Ben ABDENNOUR, Tunisia
Ridha.benabdennour@enig.rnu.tn
Salim FILALI, Algeria
safilali@hotmail.com
Samira KAMOUN, Tunisia
kamounsamira@yahoo.fr
System identification aims at the building of mathematical models of dynamical systems
based on prior knowledge of the data from the systems. Essentially, system identification is
an art of modeling, where appropriate choices have to be made concerning the level of
approximation given the final modeling objective. In nonlinear control theory, a parametric
and/or state estimation method is a process that provides an estimate of the parameters
and/or the state variables of a given nonlinear system, from its input-output and state
measurements. Thus, knowing the system parameters and/or state variables is necessary to
solve many control theory problems.
Papers should describe original and unpublished work about the above or the related topics.
Instructions for preparation and electronic submission will be available shortly on the
conference STA′2014 website. Papers are solicited on all aspects of research, development,
and application of parametric and state estimation of nonlinear systems, including but not
limited to:
1. Mathematical models for nonlinear system identification,
2. Nonlinear system identification,
3. Identification of discrete-time nonlinear mathematical models,
4. Time-varying nonlinear system identification,
5. Recursive parametric estimation methods for nonlinear systems,
6. Neural networks for nonlinear system identification,
7. State estimation of nonlinear systems,
8. Recursive state estimation methods for nonlinear systems,
9. Multimodel approach for identification and state estimation of nonlinear systems.
Submission: PDF format file of the full-length manuscript should be submitted by September
30th, 2014, on STA Review System http://www.sta‐tn.com/site/Submission.htm ‐ Topic: PNS Send another copy to Prof. Samira KAMOUN (Kamounsamira@yahoo.fr) for the
submission confirmation. 

Similar documents