Information theoretical approach to identification of hybrid systems

Li Pu; Jinchun Hu; Badong Chen

doi:10.1007/978-3-540-78929-1_56

Information theoretical approach to identification of hybrid systems

Li Pu
, Jinchun Hu
, Badong Chen

Tsinghua University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

In this paper, we present a noisy version of the algebraic geometric approach of identifyingparameters of discrete-time linear hybrid system. Two approximate ways of estimating hybridparameters are considered: one is using MSE criteria, while the other is based on the informationdivergence that measures the distance between the error probability density function (PDF) of theidentified model and the desired error PDF. A stochastic information divergence gradientalgorithm is derived for the identification problem of non-gaussian system.

Original language	English
Title of host publication	Hybrid Systems
Subtitle of host publication	Computation and Control - 11th International Workshop, HSCC 2008, Proceedings
Publisher	Springer Verlag
Pages	650-653
Number of pages	4
ISBN (Print)	3540789286, 9783540789284
DOIs	https://doi.org/10.1007/978-3-540-78929-1_56
State	Published - 2008
Externally published	Yes
Event	11th International Workshop on Hybrid Systems: Computation and Control, HSCC 2008 - St. Louis, MO, United States Duration: 22 Apr 2008 → 24 Apr 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4981 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Workshop on Hybrid Systems: Computation and Control, HSCC 2008
Country/Territory	United States
City	St. Louis, MO
Period	22/04/08 → 24/04/08

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10.1007/978-3-540-78929-1_56

Cite this

Pu, L., Hu, J., & Chen, B. (2008). Information theoretical approach to identification of hybrid systems. In Hybrid Systems: Computation and Control - 11th International Workshop, HSCC 2008, Proceedings (pp. 650-653). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4981 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-78929-1_56

Pu, Li ; Hu, Jinchun ; Chen, Badong. / Information theoretical approach to identification of hybrid systems. Hybrid Systems: Computation and Control - 11th International Workshop, HSCC 2008, Proceedings. Springer Verlag, 2008. pp. 650-653 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Information theoretical approach to identification of hybrid systems",

abstract = "In this paper, we present a noisy version of the algebraic geometric approach of identifyingparameters of discrete-time linear hybrid system. Two approximate ways of estimating hybridparameters are considered: one is using MSE criteria, while the other is based on the informationdivergence that measures the distance between the error probability density function (PDF) of theidentified model and the desired error PDF. A stochastic information divergence gradientalgorithm is derived for the identification problem of non-gaussian system.",

author = "Li Pu and Jinchun Hu and Badong Chen",

year = "2008",

doi = "10.1007/978-3-540-78929-1\_56",

language = "英语",

isbn = "3540789286",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "650--653",

booktitle = "Hybrid Systems",

note = "11th International Workshop on Hybrid Systems: Computation and Control, HSCC 2008 ; Conference date: 22-04-2008 Through 24-04-2008",

}

Pu, L, Hu, J & Chen, B 2008, Information theoretical approach to identification of hybrid systems. in Hybrid Systems: Computation and Control - 11th International Workshop, HSCC 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4981 LNCS, Springer Verlag, pp. 650-653, 11th International Workshop on Hybrid Systems: Computation and Control, HSCC 2008, St. Louis, MO, United States, 22/04/08. https://doi.org/10.1007/978-3-540-78929-1_56

Information theoretical approach to identification of hybrid systems. / Pu, Li; Hu, Jinchun; Chen, Badong.
Hybrid Systems: Computation and Control - 11th International Workshop, HSCC 2008, Proceedings. Springer Verlag, 2008. p. 650-653 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4981 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hu, Jinchun

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AB - In this paper, we present a noisy version of the algebraic geometric approach of identifyingparameters of discrete-time linear hybrid system. Two approximate ways of estimating hybridparameters are considered: one is using MSE criteria, while the other is based on the informationdivergence that measures the distance between the error probability density function (PDF) of theidentified model and the desired error PDF. A stochastic information divergence gradientalgorithm is derived for the identification problem of non-gaussian system.

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Pu L, Hu J, Chen B. Information theoretical approach to identification of hybrid systems. In Hybrid Systems: Computation and Control - 11th International Workshop, HSCC 2008, Proceedings. Springer Verlag. 2008. p. 650-653. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-78929-1_56

Information theoretical approach to identification of hybrid systems

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