Koopman Spectral Analysis (Multiscale systems)
5 min
Intermediate
Video
Theory
In this video, we discuss recent applications of data-driven Koopman theory to multi-scale systems.
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SVD: Eigenfaces 3 [Matlab]
10 min
Intermediate
Video
Application
This video describes how the singular value decomposition (SVD) can be used to efficiently represent human faces, in the so-called "eigenfaces" (Matlab code, part 3).
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Simulating the Logistic Map in Matlab
16 min
Intermediate
Video
Application
This video shows how simple it is to simulate discrete-time dynamical systems, such as the Logistic Map, in Matlab.
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Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 11 - Fast Rei...
79 min
Intermediate
Video
Theory
Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group
Feedforward Control
15 min
Intermediate
Article / Blog
Application
When and how to use feedforward control
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Numerically Linearizing a Dynamic System
104 min
Intermediate
Video
Theory
In this video we show how to linearize a dynamic system using numerical techniques. In other words, the linearization process does not require an analytical description of the system. This...
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Data-Driven Control: Balanced Truncation
14 min
Intermediate
Video
Theory
In this lecture, we describe the balanced truncation procedure for model reduction, where a handful of the most controllable and observable state directions are kept for the reduced-order...
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Sliding Mode Control Design for Mass-Spring-Damper System
Intermediate
Example
Application
This MATLAB/Simulink example describes the fundamentals of sliding mode control (SMC) and uses SMC to control a mass-spring-damper system.
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Euler Angles and the Euler Rotation Sequence
70 min
Intermediate
Video
Theory
In this video we discuss how Euler angles are used to define the relative orientation of one coordinate frame to another.
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Randomized SVD: Power Iterations and Oversampling
4 min
Intermediate
Video
Theory
This video discusses the randomized SVD and how to make it more accurate with power iterations (multiple passes through the data matrix) and oversampling.
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The Frobenius Norm for Matrices
2 min
Intermediate
Video
Theory
This video describes the Frobenius norm for matrices as related to the singular value decomposition (SVD).
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Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 8 - Policy Gr...
71 min
Intermediate
Video
Theory
Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group
RL Course by David Silver - Lecture 2: Markov Decision Process
102 min
Intermediate
Video
Theory
Explores Markov Processes including reward processes, decision processes and extensions.
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