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Titlebook: Nonlinear Stochastic Problems; Richard S. Bucy,José M. F. Moura Book 1983 D. Reidel Publishing Company, Dordrecht, Holland 1983 Estimator.

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书目名称Nonlinear Stochastic Problems
编辑Richard S. Bucy,José M. F. Moura
视频video
丛书名称Nato Science Series C:
图书封面Titlebook: Nonlinear Stochastic Problems;  Richard S. Bucy,José M. F. Moura Book 1983 D. Reidel Publishing Company, Dordrecht, Holland 1983 Estimator.
描述This volume corresponds to the invited lectures and advanced research papers presented at the NATD Advanced Study Institute on Nonlinear Stochastic Problems with emphasis on Identification, Signal Processing, Control and Nonlinear Filtering held in Algarve (Portugal), on May 1982. The book is a blend of theoretical issues, algorithmic implementation aspects, and application examples. In many areas of science and engineering, there are problems which are intrinsically nonlinear 3nd stochastic in nature. Clear examples arise in identification and mOdeling, signal processing, nonlinear filtering, stochastic and adaptive conLrol. The meeting was organized because it was felt that there is a need for discussion of the methods and philosophy underlying these different areas, and in order to communicate those approaches that have proven to be effective. As the computational technology progresses, more general approaches to a number of problems which have been treated previously by linearization and perturbation methods become feasible and rewarding.
出版日期Book 1983
关键词Estimator; Hilbert space; Maximum; Minimum; Variance; calculus; differential equation
版次1
doihttps://doi.org/10.1007/978-94-009-7142-4
isbn_softcover978-94-009-7144-8
isbn_ebook978-94-009-7142-4Series ISSN 1389-2185
issn_series 1389-2185
copyrightD. Reidel Publishing Company, Dordrecht, Holland 1983
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Approximation by a Sum of Complex Exponentials Utilizing the Pencil of Function Methodor is minimized. Among the advantages of this method are its natural insensitivity to noise in the data and explicit determination of the signal order. Examples are presented to illustrate the stability of this technique when noise is present in the data.
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A Simple Approach to High-Resolution Spectral Analysisectrum from time history data. The technique is relatively insensitive to errors and can handle data with high dynamic ranges as a result of its non-linearity. Examples of improved resolution in both space and frequency are given.
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Book 1983oblems with emphasis on Identification, Signal Processing, Control and Nonlinear Filtering held in Algarve (Portugal), on May 1982. The book is a blend of theoretical issues, algorithmic implementation aspects, and application examples. In many areas of science and engineering, there are problems wh
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Multivariable Adaptive Regulators Based on Multistep Quadratic Cost Functionals well as adaptive regulators strictly related to steady-state LQG theory. In the latter version, the MUSMAR, inh.riting the intrinsic robusteness of LQG design, performs almost o.timally even when the plant is nonminimum-phase or does not satisfy a positive realness condition.
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