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
8 - Linear Control Theory
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
- Type
- Chapter
- Information
- Data-Driven Science and EngineeringMachine Learning, Dynamical Systems, and Control, pp. 276 - 320Publisher: Cambridge University PressPrint publication year: 2019
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