Nonlinear observation via global optimization methods: Measure theory approach |
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Authors: | E A Galperin Q Zheng |
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Institution: | (1) University of Quebec in Montreal, Montreal, Quebec, Canada;(2) Shanghai University of Science and Technology, Shanghai, China |
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Abstract: | Nonlinear observation methods developed by Galperin (Refs. 1 and 2) and global optimization methods developed by Zheng (Refs. 3 and 4) are coupled to obtain effective procedures for solution of nonlinear observation and identification problems.The work of this author was supported by the Natural Sciences and Engineering Research Council of Canada under Grant No. A3492. |
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Keywords: | Nonlinear observation nonlinear identification global optimization nonlinear systems |
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