Variance-Constrained Filtering for Stochastic Complex Systems: Theories and Algorithms

By Chaoqing Jia, Jun Hu, Zidong Wang

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.

• Format: Hardcover
• Language: English
• ISBN: 9819626366
• ISBN13: 9789819626366
• Release Date: April 2025
• Publisher: Springer
• Length: 310 Pages
• Weight: 1.50 lbs.
• Dimensions: 0.8" x 6.5" x 9.4"