You might also like

More about Variance-Constrained Filtering for Stochastic Complex Systems

• Book details
• Synopsis
• Trending among others

You get 423 loyalty points

Book synopsis

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.

Book details

Book category Books in English Reference, information & interdisciplinary subjects Research & information: general Information theory

• Full title: Variance-Constrained Filtering for Stochastic Complex Systems
• Subtitle: Theories and Algorithms
• Author: Jun Hu, Zidong Wang, Chaoqing Jia
• Language: English
• Binding: Hardback
• Number of pages: 300
• EAN: 9789819626366
• ID: 47054595
• Publisher: Springer, Berlin
• Weight: 661 g
• Dimensions: 235 × 155 mm
• Date of publishing: 12. June 2025

Trending among others

---

---

---