Book contents
- Frontmatter
- Contents
- Preface
- Common Optimization Techniques, Equations, Symbols, and Acronyms
- Part I Dimensionality Reduction and Transforms
- Part II Machine Learning and Data Analysis
- Part III Dynamics and Control
- 7 Data-Driven Dynamical Systems
- 8 Linear Control Theory
- 9 Balanced Models for Control
- 10 Data-Driven Control
- Part IV Reduced Order Models
- Glossary
- Bibliography
- Index
9 - Balanced Models for Control
from Part III - Dynamics and Control
- Frontmatter
- Contents
- Preface
- Common Optimization Techniques, Equations, Symbols, and Acronyms
- Part I Dimensionality Reduction and Transforms
- Part II Machine Learning and Data Analysis
- Part III Dynamics and Control
- 7 Data-Driven Dynamical Systems
- 8 Linear Control Theory
- 9 Balanced Models for Control
- 10 Data-Driven Control
- Part IV Reduced Order Models
- Glossary
- Bibliography
- Index
Summary
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- Chapter
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- Data-Driven Science and EngineeringMachine Learning, Dynamical Systems, and Control, pp. 321 - 344Publisher: Cambridge University PressPrint publication year: 2019
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