Abstract
The knowledge of a good mathematical model is an important prerequisite to the successful application of modern control techniques. Many real world processes, however, can not be described by one model with one set of parameters, because they have different dynamic and static characteristics under different operating conditions. The paper presents a simple modification of well-known identification and simulation methods so that a single algorithm can itself estimate and simulate different sets of parameters for different operating conditions.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Ljung, L., Identification methods, IFAC Symp.on’Identification and system parameter estimation, Washington 1982
Goodwin,G.C., An overview of the system identification problems-Experiment design, dito, Washington 1982
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1983 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Diekmann, K. (1983). Model Design and Simulation of a Certain Class of Nonlinear Processes. In: Ameling, W. (eds) First European Simulation Congress ESC 83. Informatik-Fachberichte, vol 71. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-69295-6_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-69295-6_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-12723-9
Online ISBN: 978-3-642-69295-6
eBook Packages: Springer Book Archive