Variance-Constrained Filtering for Stochastic Complex Systems
Produktnummer:
18d2e6153d41ed4902aad1a3f8825b3303
| Autor: | Hu, Jun Jia, Chaoqing Wang, Zidong |
|---|---|
| Themengebiete: | Complex networks Fading measurements Missing measurements Nonlinear systems Nonlinear time-varying dynamical systems Performance analysis Sensor saturation Stochastic nonlinearities Successive packet dropouts Variance-constrained filtering |
| Veröffentlichungsdatum: | 30.04.2025 |
| EAN: | 9789819626366 |
| Sprache: | Englisch |
| Seitenzahl: | 310 |
| Produktart: | Gebunden |
| Verlag: | Springer Singapore |
| Untertitel: | Theories and Algorithms |
Produktinformationen "Variance-Constrained Filtering for Stochastic Complex Systems"
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.
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