Variance-Constrained Filtering for Stochastic Complex Systems

Theories and Algorithms

von Jun Hu, Zidong Wang, Chaoqing Jia

310 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: Intelligent Control and Learning Systems
• Themen: Lexika Forschung und Information, allgemein Informationstheorie Kybernetik und Systemtheorie
• ISBN: 9789819626397
• Sprache: Englisch
• Erscheinungsdatum: 01.05.2026
• Größe: 23.5 x 15.5 cm
• Verlag: Springer Singapore