Optimal Input Signals for Parameter Estimation : : In Linear Systems with Spatio-Temporal Dynamics / / Ewaryst Rafajłowicz.
The aim of this book is to provide methods and algorithms for the optimization of input signals so as to estimate parameters in systems described by PDE’s as accurate as possible under given constraints. The optimality conditions have their background in the optimal experiment design theory for regr...
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| Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1 |
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| VerfasserIn: | |
| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2022] ©2022 |
| Year of Publication: | 2022 |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (XVIII, 184 p.) |
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Table of Contents:
- Frontmatter
- Preface
- Acknowledgements
- Contents
- List of Tables
- List of Figures
- Frequently used acronyms
- 1 Introduction
- 2 Optimal experiment design for linear regression models – a primer
- 3 Numerical search for D-optimal designs – basic methods for a linear regression
- 4 The product of experiment designs and its optimality
- 5 Optimal input signals for linear systems described by ODEs
- 6 Optimal excitations for systems described by elliptic equations
- 7 Optimal input signals for DPS – time domain synthesis
- 8 Input signal design for systems with spatio-temporal dynamics – frequency domain approach
- 9 Final comments
- Bibliography
- Index