Variance-Constrained Filtering for Stochastic Complex Systems Theories and Algorithms /
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-constrain...
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| Huvudupphovsmän: | , , |
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| Institutionell upphovsman: | |
| Materialtyp: | Elektronisk E-bok |
| Språk: | engelska |
| Publicerad: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
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| Upplaga: | 1st ed. 2025. |
| Serie: | Intelligent Control and Learning Systems,
18 |
| Ämnen: | |
| Länkar: | https://doi.org/10.1007/978-981-96-2637-3 |
| Taggar: |
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| Sammanfattning: | 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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| Fysisk beskrivning: | 1 online resource (XV, 310 p. 127 illus.). 121 illus. in color. |
| ISBN: | 9789819626373 |
| ISSN: | 2662-5466 ; |
| DOI: | 10.1007/978-981-96-2637-3 |