Title | ||
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Parameter identification of nonlinear multirate time-delay system with uncertain output delays: |
Abstract | ||
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The joint parameter and time-delay estimation problems for a class of nonlinear multirate time-delay system with uncertain output delays are addressed in this paper. The practical process typically has time-delay properties and the process data are often multirate, sampled with output data inevitably corrupted by uncertain delays. The linear parameter varying (LPV) finite impulse response (FIR) multirate time-delay model is initially built to describe the considered system. The problems of over-parameterization and the existence of both continuous model parameters and discrete time-delays have made the conventional maximum likelihood difficult to solve the considered problems. In order to handle these problems, the joint parameter and time-delay estimation for the LPV FIR multirate time-delay model are formulated in the expectation-maximization scheme, and the algorithm to estimate the model parameters and time-delays is derived, simultaneously based on multirate process data. The efficacy of the proposed method is verified through a numerical simulation and a practical chemical plant. |
Year | DOI | Venue |
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2018 | 10.1177/0142331217733326 | TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL |
Keywords | DocType | Volume |
System identification,nonlinear time-delay model,multirate data,the continuous stirred tank reactor system,expectation-maximization algorithm | Journal | 40.0 |
Issue | ISSN | Citations |
12 | 0142-3312 | 0 |
PageRank | References | Authors |
0.34 | 14 | 4 |
Name | Order | Citations | PageRank |
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xianqiang yang | 1 | 59 | 10.79 |
Weili Xiong | 2 | 28 | 5.92 |
Zeyuan Wang | 3 | 0 | 0.34 |
Xin Liu | 4 | 244 | 38.07 |