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 10 - Policy G...
81 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
Smart Projectile State Estimation Using Evidence Theory
Intermediate
Peer Reviewed Paper
Theory
This journal article provides a very good practical understanding of Dempster-Shafer theory using sensor fusion and state estimation as the backdrop.
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The Navigation Equations: Computing Position North, East, and Down
52 min
Intermediate
Video
Theory
In this video we show how to compute the inertial velocity of a rigid body in the vehicle-carried North, East, Down (NED) frame. This is achieved by rotating the velocity expressed in the...
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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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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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RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learnin...
88 min
Intermediate
Video
Theory
Introduces reinforcment learning (RL), an overview of agents and some classic RL problems.
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Manipulating Aerodynamic Coefficients
25 min
Intermediate
Video
Theory
In this video we discuss some potential problems you may encounter when attempting to perform operations with dimensionless aerodynamic coefficients such as CL and CD.
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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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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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Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 2 - Given a M...
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 6: Value Function Approximation
97 min
Intermediate
Video
Theory
A deep dive into incremental methods and batch methods of value function approximation.
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Computing Euler Angles: The Euler Kinematical Equations and Poisson’s Kinema...
79 min
Intermediate
Video
Theory
In this video we discuss how the time rate of change of the Euler angles are related to the angular velocity vector of the vehicle. This allows us to design an algorithm to consume...
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Using Antenna Toolbox with Phased Array Systems
Intermediate
Example
Theory
When you create antenna arrays such as a uniform linear array (ULA), you can use antennas that are built into Phased Array System Toolbox™. Alternatively, you can use Antenna Toolbox™...
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Data-Driven Control: Balanced Models with ERA
6 min
Intermediate
Video
Theory
In this lecture, we connect the eigensystem realization algorithm (ERA) to balanced proper orthogonal decomposition (BPOD). In particular, if enough data is collected, then ERA produces...
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SVD and Optimal Truncation
11 min
Intermediate
Video
Theory
This video describes how to truncate the singular value decomposition (SVD) for matrix approximation.
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Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 12 - Fast Rei...
81 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
Derivation of Rodrigues’ Rotation Formula
43 min
Intermediate
Video
Theory
In this video we explain and derive Rodrigues’ Rotation Formula. This functions describes how to rotate an arbitrary vector about another arbitrary axis of rotation. This has applications to...
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Data-Driven Control: Change of Variables in Control Systems
14 min
Intermediate
Video
Theory
In this lecture, we discuss how linear control systems transform under a change of coordinates in the state variable. This will be useful to derive balancing transformations that identify...
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