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Více informací o knize Variance-Constrained Filtering for Stochastic Complex Systems

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Anotace knihy

This book is concerned with the variance-constrained optimized filtering problems and their potential applications for nonlinear time-varying dynamical systems. The distinguished features of this book are highlighted as follows.

(1) A unified framework is provided for handling the variance-constrained filtering problems of nonlinear time-varying dynamical systems with incomplete information.

(2) The application potentials of variance-constrained optimized filtering in networked time-varying dynamical systems are outlined. It contains some new concepts, new models and new methodologies with practical significance in control engineering and signal processing.

It is a collection of several research results and thereby serves as a useful reference for upper undergraduate, postgraduate and engineers who are interested in studying (i) the variance-constrained filtering, (ii) recent advances affected by incomplete information and (iii) potential applications in practical engineering systems.

Parametry knihy

Zařazení knihy Knihy v angličtině Reference, information & interdisciplinary subjects Research & information: general Information theory

• Plný název: Variance-Constrained Filtering for Stochastic Complex Systems
• Podnázev: Theories and Algorithms
• Autor: Jun Hu, Zidong Wang, Chaoqing Jia
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 300
• EAN: 9789819626366
• ID: 47054595
• Nakladatelství: Springer, Berlin
• Hmotnost: 661 g
• Rozměry: 235 × 155 mm
• Datum vydání: 12. June 2025

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