Title | ||
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Identification of linear parameter varying system with dual-rate sampled data and uncertain measurement delay |
Abstract | ||
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The parameter estimation for linear parameter varying (LPV) system with dual-rate sampled data in presence of unknown measurement delays is considered in this paper. The local identification approach is adopted and the global LPV model is constructed by synthesizing several local models by using the probability functions. The identification problem is formulated in the scheme of expectation-maximization (EM) algorithm and dual-rate sampled data, random measurement delays, and parameter varying property of the system are handled simultaneously. The iterative formulas to estimate the model parameters, measurement delays, and unknown parameters in probability functions based on dual-rate sampled data are derived. One simulation example is employed to demonstrate the effectiveness of the proposed method. |
Year | DOI | Venue |
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2016 | 10.1109/ISIE.2016.7744872 | 2016 IEEE 25th International Symposium on Industrial Electronics (ISIE) |
Keywords | Field | DocType |
linear parameter varying system identification,dual-rate sampled data,uncertain measurement delay,global LPV model,unknown measurement delays,probability functions,expectation-maximization algorithm,EM,random measurement delays,system parameter varying property,iterative formulas | Data modeling,Job shop scheduling,Control theory,Measurement delay,Control engineering,Estimation theory,Mathematics,Parameter identification problem | Conference |
ISSN | ISBN | Citations |
2163-5137 | 978-1-5090-0874-2 | 0 |
PageRank | References | Authors |
0.34 | 5 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
xianqiang yang | 1 | 59 | 10.79 |
Hao Sun | 2 | 44 | 18.15 |
Lifei Bai | 3 | 4 | 1.46 |
Xin Liu | 4 | 287 | 74.92 |