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Nonlinear observation via global optimization methods: Measure theory approach

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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.

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Author information

Authors and Affiliations

  1. University of Quebec in Montreal, Montreal, Quebec, Canada

    E. A. Galperin (Professor of Mathematics)

  2. Shanghai University of Science and Technology, Shanghai, China

    Q. Zheng (Professor of Mathematics)

Authors
  1. E. A. Galperin
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  2. Q. Zheng
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Additional information

Communicated by G. Leitmann

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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Galperin, E.A., Zheng, Q. Nonlinear observation via global optimization methods: Measure theory approach. J Optim Theory Appl 54, 63–92 (1987). https://doi.org/10.1007/BF00940405

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