Multisensory Prediction Fusion of Nonlinear Functions of the State Vector in Discrete-Time Systems
We propose two new multisensory fusion predictors for an arbitrary nonlinear function of the state vector in a discrete-time linear dynamic system. Nonlinear function of the state (NFS) represents a nonlinear multivariate functional of state variables, which can indicate useful information of the ta...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-11-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/249857 |
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| _version_ | 1849468643292741632 |
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| author | Ha Ryong Song Il Young Song Vladimir Shin |
| author_facet | Ha Ryong Song Il Young Song Vladimir Shin |
| author_sort | Ha Ryong Song |
| collection | DOAJ |
| description | We propose two new multisensory fusion predictors for an arbitrary nonlinear function of the state vector in a discrete-time linear dynamic system. Nonlinear function of the state (NFS) represents a nonlinear multivariate functional of state variables, which can indicate useful information of the target system for automatic control. To estimate the NFS using multisensory information, we propose centralized and decentralized predictors. For multivariate polynomial NFS, we propose an effective closed-form computation procedure for the predictor design. For general NFS, the most popular procedure for the predictor design is based on the unscented transformation. We demonstrate the effectiveness and estimation accuracy of the fusion predictors on theoretical and numerical examples in multisensory environment. |
| format | Article |
| id | doaj-art-fe33a565641d450a9646ce3d2927ee3a |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2015-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-fe33a565641d450a9646ce3d2927ee3a2025-08-20T03:25:47ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-11-011110.1155/2015/249857249857Multisensory Prediction Fusion of Nonlinear Functions of the State Vector in Discrete-Time SystemsHa Ryong Song0Il Young Song1Vladimir Shin2 Flight Safety Technology Division, Korea Aerospace Research Institute, 169-84 Gwahangno, Yuseong-gu, Daejeon 305-806, Republic of Korea Department of Sensor Systems, Hanwha Corporation R&D Center, 52-1 Oesam-dong, Yuseong-gu, Daejeon 305-106, Republic of Korea Department of Information and Statistics, Research Institute of Natural Science, Gyeongsang National University, 501 Jinjudaero, Jinju, Gyeongsangnam-do 660-701, Republic of KoreaWe propose two new multisensory fusion predictors for an arbitrary nonlinear function of the state vector in a discrete-time linear dynamic system. Nonlinear function of the state (NFS) represents a nonlinear multivariate functional of state variables, which can indicate useful information of the target system for automatic control. To estimate the NFS using multisensory information, we propose centralized and decentralized predictors. For multivariate polynomial NFS, we propose an effective closed-form computation procedure for the predictor design. For general NFS, the most popular procedure for the predictor design is based on the unscented transformation. We demonstrate the effectiveness and estimation accuracy of the fusion predictors on theoretical and numerical examples in multisensory environment.https://doi.org/10.1155/2015/249857 |
| spellingShingle | Ha Ryong Song Il Young Song Vladimir Shin Multisensory Prediction Fusion of Nonlinear Functions of the State Vector in Discrete-Time Systems International Journal of Distributed Sensor Networks |
| title | Multisensory Prediction Fusion of Nonlinear Functions of the State Vector in Discrete-Time Systems |
| title_full | Multisensory Prediction Fusion of Nonlinear Functions of the State Vector in Discrete-Time Systems |
| title_fullStr | Multisensory Prediction Fusion of Nonlinear Functions of the State Vector in Discrete-Time Systems |
| title_full_unstemmed | Multisensory Prediction Fusion of Nonlinear Functions of the State Vector in Discrete-Time Systems |
| title_short | Multisensory Prediction Fusion of Nonlinear Functions of the State Vector in Discrete-Time Systems |
| title_sort | multisensory prediction fusion of nonlinear functions of the state vector in discrete time systems |
| url | https://doi.org/10.1155/2015/249857 |
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