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Subspace identification for a stochastic model of plague

College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110819, P. R. China

State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning 110819, P. R. China

E-mail Address: miaoyuneu@gmail.com

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Jianchang Liu

College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110819, P. R. China

State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning 110819, P. R. China

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https://doi.org/10.1142/S1793524516500698Cited by:4 (Source: Crossref)

Abstract

In this paper, a stochastic model of plague is first studied by subspace identification. First, the discrete model of plague is obtained based on the classical model. The corresponding stochastic model is proposed for the existence of stochastic disturbances. Second, for the model, the parameter matrices and noise intensity are obtained. Finally, the simulations of the model show that the subspace identification is more precise than least square method.

Keywords:

AMSC: 93B30, 93E03, 93C05

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