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Dynamical System and Stochastic Analysis

by Jun Huang

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Stochastic systems in control theory and applied analysis

$57.79 USD
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Hardcover New English

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AlbakiReads Editorial

Stochastic systems in control theory and applied analysis

Framed as a Special Issue, this mathematics volume addresses systems shaped by random parameters, structures, and noise. It centers on recent work in control theory and the applications of stochastic systems across scientific and engineering contexts. The material foregrounds theoretical methods connected with system estimation, fault diagnosis, prognostics, and optimization, positioning uncertainty as a central analytical concern rather than a peripheral complication. With its emphasis on advancing methods and applications, the book presents a focused snapshot of research directions in stochastic analysis and systems control.

Good fit for readers who enjoy

  • Researchers and graduate-level readers in stochastic systems
  • Students of control theory and applied mathematics
  • Engineers interested in estimation, diagnostics, prognostics, or optimization under uncertainty

Themes

Stochastic systemsControl theorySystem estimationFault diagnosis and prognosticsOptimization

Based on publisher information and book metadata.

Book overview

Almost all real-world systems are inevitably subject to random structures, parameters, and noises, and stochastic systems have been playing increasingly important roles in all areas of science and engineering.

 

The purpose of this Special Issue is to solicit the recent achievements of control theory and applications of stochastic systems so as to further improve and develop the theoretical methods of stochastic system estimation, fault diagnosis, prognostics, and optimization, among others.

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