### Abstract

Original language | English |
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Pages | 112-114 |

Number of pages | 2 |

DOIs | |

Publication status | Published - 2007 |

Event | 26th Chinese Control Conference - Zhangjiajie, China Duration: 26 Jul 2007 → 31 Jul 2007 |

### Conference

Conference | 26th Chinese Control Conference |
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Country | China |

City | Zhangjiajie |

Period | 26/07/07 → 31/07/07 |

### Fingerprint

### Keywords

- dynamic systems
- histogram
- probability density function
- entropy
- parameter estimation

### Cite this

*A method of parameter identification for dynamic systems based on model output minimum entropy*. 112-114. Paper presented at 26th Chinese Control Conference , Zhangjiajie, China. https://doi.org/10.1109/CHICC.2006.4346781

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**A method of parameter identification for dynamic systems based on model output minimum entropy.** / Liu, T.Y.; Jia, J.F.; Wang, H.; Yue, H.

Research output: Contribution to conference › Paper

TY - CONF

T1 - A method of parameter identification for dynamic systems based on model output minimum entropy

AU - Liu, T.Y.

AU - Jia, J.F.

AU - Wang, H.

AU - Yue, H.

PY - 2007

Y1 - 2007

N2 - Parameter estimation is important in mathematical modeling. The Maximum Likelihood method can be used when the probability density function of observation is known. However, this assumption may not be satisfied in practice. To deal with this problem, a new parameter estimation method for dynamic systems is proposed using the entropy of probability density function for system output viable and two performance functions are also given. To illustrate the effectiveness of this method, HIV/AIDS model is taken as an example to evaluate simulation and results are encouraging.

AB - Parameter estimation is important in mathematical modeling. The Maximum Likelihood method can be used when the probability density function of observation is known. However, this assumption may not be satisfied in practice. To deal with this problem, a new parameter estimation method for dynamic systems is proposed using the entropy of probability density function for system output viable and two performance functions are also given. To illustrate the effectiveness of this method, HIV/AIDS model is taken as an example to evaluate simulation and results are encouraging.

KW - dynamic systems

KW - histogram

KW - probability density function

KW - entropy

KW - parameter estimation

UR - http://ccc.amss.ac.cn/main/index.html

U2 - 10.1109/CHICC.2006.4346781

DO - 10.1109/CHICC.2006.4346781

M3 - Paper

SP - 112

EP - 114

ER -