Book contents
- Frontmatter
- Contents
- Preface
- Vocabulary
- Notation and Symbols
- Acronyms
- 1 Introduction
- Part I Modelling Large-Scale Dynamic Networks
- Part II The Identification Methods
- 6 Identification of Signal Flow Dynamic Networks
- 7 Subspace-Like Identification of Multi-Dimensional Systems
- 8 Subspace Identification of Local Systems in an NDS
- 9 Estimating Structured State-Space Models
- Part III Illustrating with an Application to Adaptive Optics
- Appendices
- References
- Index
9 - Estimating Structured State-Space Models
from Part II - The Identification Methods
Published online by Cambridge University Press: 28 April 2022
Book contents
- Frontmatter
- Contents
- Preface
- Vocabulary
- Notation and Symbols
- Acronyms
- 1 Introduction
- Part I Modelling Large-Scale Dynamic Networks
- Part II The Identification Methods
- 6 Identification of Signal Flow Dynamic Networks
- 7 Subspace-Like Identification of Multi-Dimensional Systems
- 8 Subspace Identification of Local Systems in an NDS
- 9 Estimating Structured State-Space Models
- Part III Illustrating with an Application to Adaptive Optics
- Appendices
- References
- Index
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- Data-Driven Identification of Networks of Dynamic Systems , pp. 189 - 216Publisher: Cambridge University PressPrint publication year: 2022