
Understanding Sensor Fusion and Tracking, Part 2: Fusing a Mag, Accel, and G...
This video describes how we can use a magnetometer, accelerometer, and a gyro to estimate an object’s orientation. The goal is to show how these sensors contribute to the solution, and to...
See MoreGaussian/Normal Distributions
In this video we discuss the Gaussian (AKA Normal) probability distribution function. We show how it relates to the error function (erf) and discuss how to ...
See MoreData-Driven Control: Balanced Truncation and BPOD Example
In this lecture, we explore balanced truncation and BPOD on a numerical example in Matlab.
See MoreAuto Tuning a Small DC Motor in Torque Mode
I was really testing the picture in picture feature of the Screen Flow software I use to make these videos. I knew the auto tuning would work. I kept the v...
See MoreSVD: Eigenfaces 1 [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 1).
See MoreThe Routh-Hurwitz Stability Criterion
In this video we explore the Routh Hurwitz Stability Criterion and investigate how it can be applied to control systems engineering. The Routh Hurwitz Stabi...
See MoreIntroduction to Bode Plots
In this video we introduce the concept of Bode plots including what they represent, how they are generated, as well as how to use Matlab tools to work with B...
See MoreTikZ source Code: Two systems in negative feedback
TikZ source Code: Two systems in negative feedback
See MoreDerivation and Solution of Laplace’s Equation
In this video we show how the heat equation can be simplified to obtain Laplace’s equation. We investigate how to solve Laplace’s equation using separation ...
See MoreTuning a Fuzzy Logic Controller with Data | Fuzzy Logic, Part 4
This video covers the basics of data-driven approaches to tuning fuzzy inference systems. See what it means to find an optimal solution, which fuzzy inference parameters are being tuned...
See MoreTikZ source Code: Sliding Mode Control Example System 2
TikZ source Code: Sliding Mode Control Example System 2
See MoreMachine Learning Control: Genetic Programming
This lecture explores the use of genetic programming to simultaneously optimize the structure and parameters of an effective control law.
See MoreLaplace domain – tutorial 5: Inverse Laplace transform
In this video, we cover inverse Laplace transform which enables us to travel back from Laplace to the time domain. We will learn how to use simple tricks alo...
See MoreManipulating Aerodynamic Coefficients
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.
See MoreFourier Series and Gibbs Phenomena [Matlab]
This video will describe how to compute the Fourier Series in Matlab and Gibbs Phenomena that appear for discontinuous functions.
See MoreUnderstanding Model Predictive Control, Part 4: Adaptive, Gain-Scheduled and...
This video explains the type of MPC controller you can use based on your plant model, constraints, and cost function. An optimization problem with these properties is a convex one, and you...
See MoreFrequency domain – tutorial 3: filtering (periodic signals)
In this video, we learn about filtering which enables us to manipulate the frequency content of a signal. A common filtering application is to preserve desi...
See MoreMotivation for Full-State Estimation [Control Bootcamp]
This video discusses the need for full-state estimation. In particular, if we want to use full-state feedback (e.g., LQR), but only have limited measurements of the system, it is necessary...
See MoreRelative Gain Array RGA Analysis
I cover how you can find the relative gain array from the steady state gain array, and interpret the results to determine which input to pair with which outp...
See MoreLecture 2: LTI Systems, Laplace Transform Review and Transfer Function
MATLAB Sensor Array Analyzer App
The Sensor Array Analyzer app enables you to construct and analyze common sensor array configurations. These configurations range from 1-D to 3-D arrays of antennas, sonar transducers, and...
See MorePID Control - A brief introduction
In this video, I introduce the topic of PID control. This is a short introduction design to prepare you for the next few lectures where I will go through several examples of PID control....
See MoreState Space in Process Control
An overview on how we can derive a state space model from a given set of state variables and inputs, as well as an intro to deviation variables. This is part...
See MoreStanford CS234: Reinforcement Learning | Winter 2019 | Lecture 3 - Model-Fr...
Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group