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Parameter Estimation of Nonlinear Systems
Vöröš, Juraj, Mikleš, Ján and Čirka, Ľuboš Parameter Estimation of Nonlinear Systems Acta Chimica Slovaca, Vol.1, No. 1, 2008, 309-320
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| Attached Files |
| Name |
Description |
MIMEType |
Size |
Downloads |
acs_0027.pdf
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acs_0027.pdf |
application/pdf |
222.67KB |
0 |
| Author(s) |
Vöröš, Juraj
Mikleš, Ján
Čirka, Ľuboš
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| Title |
Parameter Estimation of Nonlinear Systems
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| Journal name |
Acta Chimica Slovaca
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| Publication date |
2008
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| Year available |
2008
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| Volume number |
1
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| Issue number |
1
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| ISBN |
978-80-227-2957-4
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| Start page |
309
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| End page |
320
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| Total pages |
12
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| Place of publication |
Bratislava
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| Publisher |
Slovak Technical University
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| Collection year |
2008
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| Language |
english
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| Subject |
290000 Engineering and Technology
290600 Chemical Engineering
290602 Process Control and Simulation
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| Abstract/Summary |
In this work, a continuous-time extended Kalman filter (EKF) is presented, which allows the parameters of nonlinear systems to be estimated. The idea of the extended Kalman filter is extending the linearized Kalman filter to directly estimate the states of a nonlinear system and linearizing the nonlinear system around the Kalman filter estimate. Two mathematical models, an interacting tank-in-series process and continuous stirred-tank reactor (CSTR), are introduced. EKF is used to estimate constants k11 and k22 for interacting tank-in-series process and temperature of reaction mixture ϑ and frequency factor k0 for CSTR.
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| Keyword(s) |
Extended Kalman filter
nonlinear systems
parameters estimation
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