Data-Driven Control: Observer Kalman Filter Identification
12 min
Intermediate
Video
Theory
In this lecture, we introduce the observer Kalman filter identification (OKID) algorithm. OKID takes natural input--output data from a system and estimates the impulse response, for later...
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Koopman Spectral Analysis (Representations)
16 min
Intermediate
Video
Theory
In this video, we explore how to obtain finite-dimensional representations of the Koopman operator from data, using regression.
See More![SVD: Eigenfaces 4 [Matlab]](/sites/default/files/styles/search_resulkts/public/2020-12/maxresdefault_418.jpg?itok=dWTN1neh)
SVD: Eigenfaces 4 [Matlab]
6 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 4).
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Identifying Dominant Balance Physics from Data - Jared Callaham
12 min
Intermediate
Video
Theory
This video illustrates a new algorithm to identify local dominant physical balance relations from multiscale spatiotemporal data.
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Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 16 - Monte Ca...
67 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
A Nonlinear, 6 DOF Dynamic Model of an Aircraft: the Research Civil Aircraft...
104 min
Intermediate
Video
Theory
In this video we develop a dynamic model of an aircraft by describing forces and moments generated by aerodynamic, propulsion, and gravity that act on the aircraft. This video outlines the...
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Data-Driven Control: Balanced Truncation Example
10 min
Intermediate
Video
Application
In this lecture, we explore the balanced truncation procedure on an example in Matlab. In particular, we demonstrate the ability of a balancing transformation to make the controllability...
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Discrete-Time Dynamical Systems
9 min
Intermediate
Video
Theory
This video shows how discrete-time dynamical systems may be induced from continuous-time systems.
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Singular Value Decomposition (SVD): Mathematical Overview
12 min
Intermediate
Video
Theory
This video presents a mathematical overview of the singular value decomposition (SVD).
See More![Unitary Transformations and the SVD [Python]](/sites/default/files/styles/search_resulkts/public/2020-12/maxresdefault_428.jpg?itok=YznjC6fr)
Unitary Transformations and the SVD [Python]
6 min
Intermediate
Video
Application
This video describes how the singular value decomposition (SVD) is related to unitary transformations, with Python code.
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Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 3 - Model-Fr...
73 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 4: Model-Free Prediction
97 min
Intermediate
Video
Theory
An introduction to Monte-Carlo Learning and Temporal Difference Learning
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Computing Euler Angles: Tracking Attitude Using Quaternions
74 min
Intermediate
Video
Theory
In this video we continue our discussion on how to track the attitude of a body in space using quaternions. The quaternion method is similar to the Euler Kinematical Equations and Poisson...
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Data-Driven Control: Change of Variables in Control Systems (Correction)
2 min
Intermediate
Video
Theory
This video corrects a typo in the previous lecture.
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Complex Fourier Series
12 min
Intermediate
Video
Theory
This video will describe how the Fourier Series can be written efficiently in complex variables.
See More![SVD: Eigenfaces 1 [Matlab]](/sites/default/files/styles/search_resulkts/public/2020-12/maxresdefault_412.jpg?itok=X4iw3jz2)
SVD: Eigenfaces 1 [Matlab]
7 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 1).
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Sparse Identification of Nonlinear Dynamics for Model Predictive Control
12 min
Intermediate
Video
Theory
This lecture shows how to use sparse identification of nonlinear dynamics with control (SINDYc) with model predictive control to control nonlinear systems purely from data.
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Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 13 - 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
Expressing Vectors in Different Frames Using Rotation Matrices
45 min
Intermediate
Video
Theory
In this video we develop notation to express a vector in different reference/coordinate frames. We then investigate how to use rotation matrices to translate from a vector expressed in one...
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RL Course by David Silver - Lecture 9: Exploration and Exploitation
99 min
Intermediate
Video
Theory
An overview of multi-armed bandits, contextual bandits and Markov Decision Processes.
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Vector Derivatives (the Equation of Coriolis) and the Angular Velocity Vecto...
72 min
Intermediate
Video
Theory
In this video we develop the Equation of Coriolis which describes how a vector in a rotating reference frame changes from the perspective of an observer in a non-rotating reference frame. We...
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