First Derivatives Estimation of Nonlinear Parameters in Hybrid System
Summary :
This letter describes the first derivatives estimation of nonlinear parameters through an embedded identifier in the hybrid system by using a feed-forward neural network (FFNN). The hybrid systems are modelled by the differential-algebraic-impulsive-switched (DAIS) structure. The FFNN is used to identify the full dynamics of the hybrid system. Moreover, the partial derivatives of an objective function J with respect to the parameters are estimated by the proposed identifier. Then, it is applied for the identification and estimation of the non-smooth nonlinear dynamic behaviors due to a saturation limiter in a practical engineering system.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E89-A No.12 pp.3736-3738
- Publication Date
- 2006/12/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e89-a.12.3736
- Type of Manuscript
- LETTER
- Category
- Concurrent Systems
Authors
Keyword
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Jung-Wook PARK, Byoung-Kon CHOI, Kyung-Bin SONG, "First Derivatives Estimation of Nonlinear Parameters in Hybrid System" in IEICE TRANSACTIONS on Fundamentals,
vol. E89-A, no. 12, pp. 3736-3738, December 2006, doi: 10.1093/ietfec/e89-a.12.3736.
Abstract: This letter describes the first derivatives estimation of nonlinear parameters through an embedded identifier in the hybrid system by using a feed-forward neural network (FFNN). The hybrid systems are modelled by the differential-algebraic-impulsive-switched (DAIS) structure. The FFNN is used to identify the full dynamics of the hybrid system. Moreover, the partial derivatives of an objective function J with respect to the parameters are estimated by the proposed identifier. Then, it is applied for the identification and estimation of the non-smooth nonlinear dynamic behaviors due to a saturation limiter in a practical engineering system.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e89-a.12.3736/_p
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@ARTICLE{e89-a_12_3736,
author={Jung-Wook PARK, Byoung-Kon CHOI, Kyung-Bin SONG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={First Derivatives Estimation of Nonlinear Parameters in Hybrid System},
year={2006},
volume={E89-A},
number={12},
pages={3736-3738},
abstract={This letter describes the first derivatives estimation of nonlinear parameters through an embedded identifier in the hybrid system by using a feed-forward neural network (FFNN). The hybrid systems are modelled by the differential-algebraic-impulsive-switched (DAIS) structure. The FFNN is used to identify the full dynamics of the hybrid system. Moreover, the partial derivatives of an objective function J with respect to the parameters are estimated by the proposed identifier. Then, it is applied for the identification and estimation of the non-smooth nonlinear dynamic behaviors due to a saturation limiter in a practical engineering system.},
keywords={},
doi={10.1093/ietfec/e89-a.12.3736},
ISSN={1745-1337},
month={December},}
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TY - JOUR
TI - First Derivatives Estimation of Nonlinear Parameters in Hybrid System
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3736
EP - 3738
AU - Jung-Wook PARK
AU - Byoung-Kon CHOI
AU - Kyung-Bin SONG
PY - 2006
DO - 10.1093/ietfec/e89-a.12.3736
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E89-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2006
AB - This letter describes the first derivatives estimation of nonlinear parameters through an embedded identifier in the hybrid system by using a feed-forward neural network (FFNN). The hybrid systems are modelled by the differential-algebraic-impulsive-switched (DAIS) structure. The FFNN is used to identify the full dynamics of the hybrid system. Moreover, the partial derivatives of an objective function J with respect to the parameters are estimated by the proposed identifier. Then, it is applied for the identification and estimation of the non-smooth nonlinear dynamic behaviors due to a saturation limiter in a practical engineering system.
ER -
English
