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Variance-Constrained Filtering for Stochastic Complex Systems

Theories and Algorithms

Inbunden, Engelska, 2025

Av Jun Hu, Zidong Wang, Chaoqing Jia

2 829 kr

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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.

Produktinformation

  • Utgivningsdatum2025-04-30
  • Mått155 x 235 x 23 mm
  • Vikt716 g
  • FormatInbunden
  • SpråkEngelska
  • SerieIntelligent Control and Learning Systems
  • Antal sidor310
  • FörlagSpringer Nature Switzerland AG
  • ISBN9789819626366