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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. <\/jats:p>","DOI":"10.1155\/2015\/249857","type":"journal-article","created":{"date-parts":[[2015,11,11]],"date-time":"2015-11-11T21:01:37Z","timestamp":1447275697000},"page":"249857","update-policy":"http:\/\/dx.doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Multisensory Prediction Fusion of Nonlinear Functions of the State Vector in Discrete-Time Systems"],"prefix":"10.1177","volume":"11","author":[{"given":"Ha Ryong","family":"Song","sequence":"first","affiliation":[{"name":"Flight Safety Technology Division, Korea Aerospace Research Institute, 169-84 Gwahangno, Yuseong-gu, Daejeon 305-806, Republic of Korea"}]},{"given":"Il Young","family":"Song","sequence":"additional","affiliation":[{"name":"Department of Sensor Systems, Hanwha Corporation R&D Center, 52-1 Oesam-dong, Yuseong-gu, Daejeon 305-106, Republic of Korea"}]},{"given":"Vladimir","family":"Shin","sequence":"additional","affiliation":[{"name":"Department of Information and Statistics, Research Institute of Natural Science, Gyeongsang National University, 501 Jinjudaero, Jinju, Gyeongsangnam-do 660-701, Republic of Korea"}]}],"member":"179","published-online":{"date-parts":[[2015,11,11]]},"reference":[{"key":"B1-2015-249857","volume-title":"Networked Multisensor Decision and Estimation Fusion","author":"Zhu Y.","year":"2013"},{"key":"B2-2015-249857","volume-title":"Multi-Sensor Data Fusion: An Introduction","author":"Mitchell H. 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