SVD: Eigenfaces 3 [Matlab]

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).

Simulating the Logistic Map in Matlab

This video shows how simple it is to simulate discrete-time dynamical systems, such as the Logistic Map, in Matlab.

Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 11 - Fast Rei...

Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group

Computing Euler Angles: The Euler Kinematical Equations and Poisson’s Kinema...

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...

Data-Driven Control: ERA/OKID Example in Matlab

In this lecture, we explore the observer Kalman filter identification (OKID) and eigensystem realization algorithm (ERA) in Matlab on an example.

Koopman Spectral Analysis (Multiscale systems)

In this video, we discuss recent applications of data-driven Koopman theory to multi-scale systems.

The Frobenius Norm for Matrices

This video describes the Frobenius norm for matrices as related to the singular value decomposition (SVD).

Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 8 - Policy Gr...

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

Explores Markov Processes including reward processes, decision processes and extensions.

Derivation of Rodrigues’ Rotation Formula

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...

Feedforward Control

When and how to use feedforward control

Data-Driven Control: Balanced Truncation

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...

Sliding Mode Control Design for Mass-Spring-Damper System

This MATLAB/Simulink example describes the fundamentals of sliding mode control (SMC) and uses SMC to control a mass-spring-damper system.

Randomized SVD: Power Iterations and Oversampling

This video discusses the randomized SVD and how to make it more accurate with power iterations (multiple passes through the data matrix) and oversampling.

Gimbal Lock in reference to the Apollo missions

A gimbal is a pivoted support that permits rotation of an object about an axis. For this reason, a set of three axes gimbals are used in spacecrafts to help with orientation attitude control...

SVD and Optimal Truncation

This video describes how to truncate the singular value decomposition (SVD) for matrix approximation.

Linear Regression 2 [Python]

This video describes how the singular value decomposition (SVD) can be used for linear regression in Python (part 2).

Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 1 - Introduct...

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...

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...

RL Course by David Silver - Lecture 7: Policy Gradient Methods

Looks at different policy gradients, including Finite Difference, Monte-Carlo and Actor Critic.

IIR Filters - Theory and Implementation (STM32)

Tutorial on IIR (Infinite Impulse Response) digital filters, including digital filtering overview, IIR filter theory, FIR vs IIR, Z-transform design/analysis, design using analogue...

Data-Driven Control: BPOD and Output Projection

In this lecture, we introduce the output projection for balancing proper orthogonal decomposition (BPOD), to reduce the number of adjoint simulations required when the number of measurements...

SVD: Eigenfaces 2 [Python]

This video describes how the singular value decomposition (SVD) can be used to efficiently represent human faces, in the so-called "eigenfaces" (Python code, part 2).

Using Antenna Toolbox with Phased Array Systems

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™...

PID Tuner

Tuning a PID controller can be easily done using a systematic procedure. PID Tuner just put it in a web application. No more trial and error. 

Use the step response data from your system...