Search results for Control systems and optimization

10 - Data-Driven Control
from Part IV - Advanced Data-Driven Modeling and Control
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington
Book:

Data-Driven Science and Engineering

Published online:

10 June 2022

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05 May 2022, pp 389-418
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7 - Data-Driven Dynamical Systems
from Part III - Dynamics and Control
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington
Book:

Data-Driven Science and Engineering

Published online:

10 June 2022

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05 May 2022, pp 253-310
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Glossary
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington
Book:

Data-Driven Science and Engineering

Published online:

10 June 2022

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05 May 2022, pp 542-551
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2 - Fourier and Wavelet Transforms
from Part I - Dimensionality Reduction and Transforms
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington
Book:

Data-Driven Science and Engineering

Published online:

10 June 2022

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05 May 2022, pp 53-96
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Common Optimization Techniques, Equations, Symbols, and Acronyms
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington
Book:

Data-Driven Science and Engineering

Published online:

10 June 2022

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05 May 2022, pp xv-xxiv
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Acknowledgments
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington
Book:

Data-Driven Science and Engineering

Published online:

10 June 2022

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05 May 2022, pp xiv-xiv
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References
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington
Book:

Data-Driven Science and Engineering

Published online:

10 June 2022

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05 May 2022, pp 552-587
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Part IV - Advanced Data-Driven Modeling and Control
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington
Book:

Data-Driven Science and Engineering

Published online:

10 June 2022

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05 May 2022, pp 387-388
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Part I - Dimensionality Reduction and Transforms
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington
Book:

Data-Driven Science and Engineering

Published online:

10 June 2022

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05 May 2022, pp 1-2
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Part II - Machine Learning and Data Analysis
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington
Book:

Data-Driven Science and Engineering

Published online:

10 June 2022

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05 May 2022, pp 131-132
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1 - Singular Value Decomposition (SVD)
from Part I - Dimensionality Reduction and Transforms
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington
Book:

Data-Driven Science and Engineering

Published online:

10 June 2022

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05 May 2022, pp 3-52
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3 - Sparsity and Compressed Sensing
from Part I - Dimensionality Reduction and Transforms
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington
Book:

Data-Driven Science and Engineering

Published online:

10 June 2022

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05 May 2022, pp 97-130
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4 - Regression and Model Selection
from Part II - Machine Learning and Data Analysis
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington
Book:

Data-Driven Science and Engineering

Published online:

10 June 2022

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05 May 2022, pp 133-167
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8 - Linear Control Theory
from Part III - Dynamics and Control
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington
Book:

Data-Driven Science and Engineering

Published online:

10 June 2022

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05 May 2022, pp 311-359
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13 - Interpolation for Parametric Reduced-Order Models
from Part IV - Advanced Data-Driven Modeling and Control
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington
Book:

Data-Driven Science and Engineering

Published online:

10 June 2022

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05 May 2022, pp 485-519
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11 - Reinforcement Learning
from Part IV - Advanced Data-Driven Modeling and Control
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington
Book:

Data-Driven Science and Engineering

Published online:

10 June 2022

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05 May 2022, pp 419-448
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Part III - Dynamics and Control
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington
Book:

Data-Driven Science and Engineering

Published online:

10 June 2022

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05 May 2022, pp 251-252
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14 - Physics-Informed Machine Learning
from Part IV - Advanced Data-Driven Modeling and Control
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington
Book:

Data-Driven Science and Engineering

Published online:

10 June 2022

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05 May 2022, pp 520-541
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Preface
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington
Book:

Data-Driven Science and Engineering

Published online:

10 June 2022

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05 May 2022, pp ix-xiii
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Frontmatter
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington
Book:

Data-Driven Science and Engineering

Published online:

10 June 2022

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05 May 2022, pp i-iv
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Control systems and optimization

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1460 results in Control systems and optimization

10 - Data-Driven Control

7 - Data-Driven Dynamical Systems

Glossary

2 - Fourier and Wavelet Transforms

Common Optimization Techniques, Equations, Symbols, and Acronyms

Acknowledgments

References

Part IV - Advanced Data-Driven Modeling and Control

Part I - Dimensionality Reduction and Transforms

Part II - Machine Learning and Data Analysis

1 - Singular Value Decomposition (SVD)

3 - Sparsity and Compressed Sensing

4 - Regression and Model Selection

8 - Linear Control Theory

13 - Interpolation for Parametric Reduced-Order Models

11 - Reinforcement Learning

Part III - Dynamics and Control

14 - Physics-Informed Machine Learning

Preface

Frontmatter

Control systems and optimization

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1460 results in Control systems and optimization