Simplified model parameter estimation

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aitor JUANDO
aitor JUANDO 2012-7-13
hello
I have different variables measured in a diesel engine. I want to estimate transfer functions that best fit the behaviour. for example input power and output exhaust temperature. What should I use to calculate parameters of transfer function. Estimate parameters o system identification tool?
thanks
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Miro
Miro 2012-7-13
Do you know, how the output shoud behave theoretically? If yes you could do a simple fitting of the Data to the curve. If there are many parameters in the functio you should use an optimisation function like LSQNONLIN.

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Rajiv Singh
Rajiv Singh 2012-7-23
Try the various linear and nonlinear model identification tools in the System Identification Toolbox product. There are dedicated commands for each type of model; all estimations can be carried out in the GUI too.
Transfer function (linear): tfest (new in R2012a), oe
State-space: ssest (new in R2012a), n4sid, pem
Process models (low order continuous-time ZPK models): procest (new in R2012a), pem
Nonlinear ARX models: nlarx
Hammerstein-Wiener models: nlhw
Grey box models: greyest (new in R2012a), pem; see also idgrey, idnlgrey.
You will find plenty of user examples here: http://www.mathworks.com/products/sysid/examples.html

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