Constrained particle filtering methods for state estimation of nonlinear process

Author:

Zhao Zhonggai12,Huang Biao12,Liu Fei12

Affiliation:

1. Dept. of Chemical and Materials Engineering; University of Alberta; Edmonton AB Canada T6G 2V4

2. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education); Jiangnan University; Wuxi China 214122

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Reference33 articles.

1. Sequential Monte Carlo Methods in Practice

2. A Bayesian approach to problems in stochastic estimation and control;Ho;IEEE Trans Automat Control.,1964

3. Bayesian filtering: from Kalman filter to particle filters, and beyond;Chen;Technical Report, Adaptive Systems Lab., McMaster University,2003

4. Novel approach to nonlinear non Gaussian Bayesian state estimation;Gordon;IEE Proc F.,1993

5. Bayesian estimation and the kalman filter;Barker;Comput Math Appl.,1995

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