
Principal Component Analysis (PCA) [Matlab]
This video describes how the singular value decomposition (SVD) can be used for principal component analysis (PCA) in Matlab.
See MoreLecture 31: Time response, Controllability and Observability
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 ai...
See MoreFuzzy Inference System Walkthrough | Fuzzy Logic Part 2
This video walks step-by-step through a fuzzy inference system. Learn about concepts like membership function shapes, fuzzy operators, multiple-input inference systems, and rule firing...
See MorePosicast Control 4 - ( In English )
This video continues to explore the gantry crame control simulations in open-loop- The main focus is the half-cycle Posicast.
See MoreControl Systems with MATLAB: An Introduction
Controllability of a Linear System: The Controllability Matrix and the PBH T...
In this video we explore controllability of a linear system. We discuss two methods to test for controllability, the controllability matrix as well as the P...
See MoreUnderstanding Sensor Fusion and Tracking, Part 4: Tracking a Single Object W...
This video describes how we can improve tracking a single object by estimating state with an interacting multiple model filter. We will build up some intuition about the IMM filter and show...
See MoreLecture 25: Nyquist stability criterion
Randomized SVD Code [Matlab]
This video describes the randomized singular value decomposition (rSVD) (Matlab code).
See MoreDrone Control and the Complementary Filter
Let's talk about the complementary filter and how we can use it to estimate the attitude of a drone using an IMU. It is such a dead simple filter, which is a good reason to learn it, but it...
See MoreMatrix Completion and the Netflix Prize
This video describes how the singular value decomposition (SVD) can be used for matrix completion and recommender systems.
See MoredRehmFlight VTOL - Teensy (Arduino) Flight Controller and Stabilization
dRehmFlight VTOL is a new flight controller and stabilization package intended to be used for small to medium sized hobby or research projects. dRehmFlight is the code, and the physical...
See MoreSVD: Eigenfaces 3 [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 3).
See MoreData-Driven Control: Balanced Proper Orthogonal Decomposition
In this lecture, we introduce the balancing proper orthogonal decomposition (BPOD) to approximate balanced truncation for high-dimensional systems.
See MoreSolving the 1D Wave Equation
In this video, we solve the 1D wave equation. We utilize the separation of variables method to solve this 2nd order, linear, homogeneous, partial differenti...
See MoreLeast Squares Regression and the SVD
This video describes how the SVD can be used to solve linear systems of equations. In particular, it is possible to solve nonsquare systems (overdetermined or underdetermined) via least...
See MoreInternal Model Control Example Problem
I walk through how to design a feedback controller based on a given process transfer function, using Internal Model Control.
See MoreFrequency domain – tutorial 9: frequency response
In this video, the learning objectives are to:1- fully understand the frequency response which forms the foundation of filtering 2- quickly review the common...
See MorePeter Ponders PID - Closed Loop Zeros
This video covers closed loop zeros, what causes zeros and the benefits and drawbacks of closed loop zeros.
See MoreDirect Synthesis Method Numerator Dynamics Problem
I walk through how to design a PID feedback controller when given a second order process with numerator dynamics, using the Direct Synthesis Method.
See MoreStanford 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
Peter Ponders PID- Motor position control
Neural Network Architectures
This lecture describes the wide variety of neural network architectures available to solve various problems.
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