
Type
Experience
Scope
Robotic Car, Closed Loop Control Example
I demonstrate the value of closed loop control in an uncertain environment using my Zumo Robot car. If you're interested in building one yourself and trying this out I think I've given you...
See MoreThe Taylor Series
In this video we discuss the Taylor Series (and the closely related Maclaurin Series). These are two specific types of Power Series that allow you to approx...
See MoreBode Plots by Hand: Complex Poles or Zeros
This is a continuation of the Control Systems Lectures. This video describes the benefit of being able to approximate a Bode plot by hand and explains what a Bode plot looks like for a...
See MoreThe Laplace Transform - A Graphical Approach
A lot of books cover how to perform a Laplace Transform to solve differential equations. This video tries to show graphically what the Laplace Transform is doing and why figuring out the...
See MoreUnderstanding Sensor Fusion and Tracking, Part 1: What Is Sensor Fusion?
This video provides an overview of what sensor fusion is and how it helps in the design of autonomous systems. It also covers a few scenarios that illustrate the various ways that sensor...
See MoreSingular Value Decomposition (SVD): Dominant Correlations
This lectures discusses how the SVD captures dominant correlations in a matrix of data.
See MorePeter Ponders PID - Lead/lag closed loop control
Data-Driven Control: Eigensystem Realization Algorithm
In this lecture, we introduce the eigensystem realization algorithm (ERA), which is a purely data-driven algorithm to obtain balanced input—output models from impulse response data. ERA was...
See MoreSVD: Image Compression [Python]
This video describes how to use the singular value decomposition (SVD) for image compression in Python.
See MoreVelocity & Acceleration in Non-Inertial Reference Frames (Coriolis &...
In this video we derive a mathematical description of velocity and acceleration in non-inertial reference frame. We examine the effect of fictitious forces ...
See MoreSliding 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.
See MoreLinear Regression 1 [Python]
This video describes how the singular value decomposition (SVD) can be used for linear regression in Python (part 1).
See MoreBuilding the Flight Controller Hardware - dRehmFlight VTOL
This video will show you how to setup and solder the default recommended hardware setup for the dRehmFlight VTOL flight controller package. This hardware configuration will work with the...
See MoreTikZ source Code: Interconnected MIMO Subsystems
TikZ source Code: Interconnected MIMO Subsystems with different input and output dimensions
See MoreA 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...
See MoreExtremum Seeking Control: Challenging Example
This lecture explores the use of extremum-seeking control (ESC) to solve a challenging control problem with a right-half plane zero.
See MoreMounting and Configuring the IMU - dRehmFlight VTOL
This video will show you how to verify proper operation of the IMU for dRehmFlight VTOL before your first flight. It will also show you how to correctly mount the IMU to your aircraft. The...
See MoreLaplace domain – tutorial 4: Laplace transform examples
In this video, we solve lots of examples to practice how to quickly find Laplace transform using the table of pairs & properties and five golden rules on ROC...
See MoreFourier Series: Part 1
This video will show how to approximate a function with a Fourier series, which is an infinite sum of sines and cosines. We will discuss how these sines and cosines form a basis for the...
See MoreUnderstanding Model Predictive Control, Part 6: How to Design an MPC Control...
Learn how to design an MPC controller for an autonomous vehicle steering system using Model Predictive Control Toolbox™. This video walks you through the design process of an MPC controller...
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 MoreWhy Transfer Functions Matter
Once we know a process's transfer function we can model how it will respond to an variety of inputs very easily, check it out.
See MoreLecture 13: Stability and Routh Hurwitz criterion
Control Bootcamp: Cruise Control Example with Proportional-Integral (PI) co...
In this video, we show that introducing integral control reduces the steady-state tracking error to zero in the cruise control example. We also use a more sophisticated model for the...
See MoreStanford CS234: Reinforcement Learning | Winter 2019 | Lecture 13 - Fast Rei...
Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group