Buch, Englisch, Band 318, 249 Seiten, Format (B × H): 156 mm x 240 mm, Gewicht: 425 g
Buch, Englisch, Band 318, 249 Seiten, Format (B × H): 156 mm x 240 mm, Gewicht: 425 g
Reihe: Lecture Notes in Control and Information Sciences
ISBN: 978-1-85233-997-5
Verlag: Springer
Multiplicative noise appears in systems where the process or measurement noise levels depend on the system state vector. Such systems are relevant, for example, in radar measurements where larger ranges involve higher noise level.
This monograph embodies a comprehensive survey of the relevant literature with basic problems being formulated and solved by applying various techniques including game theory, linear matrix inequalities and Lyapunov parameter-dependent functions.
Topics covered include: convex H and H-infinity norms analysis of systems with multiplicative noise; state feedback control and state estimation of systems with multiplicative noise; dynamic and static output feedback of stochastic bilinear systems; tracking controllers for stochastic bilinear systems utilizing preview information.
Various examples which demonstrate the applicability of the theory to practical control engineering problems are considered; two such examples are taken from the aerospace and guidance control areas.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Mikroprozessoren
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Überwachungstechnik
- Technische Wissenschaften Verkehrstechnik | Transportgewerbe Luft- und Raumfahrttechnik, Luftverkehr
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Fertigungsindustrie Luftfahrtindustrie
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Sensorik
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
Weitere Infos & Material
Part I: Introduction and Literature Survey
Introduction
Part II: Continuous-time Systems
Control and Luenberger-type Filtering
General Filtering
Tracking Control
Static Output-feedback
Stochastic Passivity
Part III: Discrete-time Systems
Control and Luenberger-type Filtering
General Filtering
Tracking Control
Static Output-feedback
Part IV: Applications
Systems with State-multiplicative Noise: Applications
Appendix A Introduction to Stochastic Differential Equations
Appendix B The Continuous DLMI Method
Appendix C The Discrete DLMI Method.
