
Type
Experience
Scope
Tutorial on Root Locus
Derivation 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 MoreLecture 6: Signal Flow Graphs and Mason's Gain Rule
Laplace 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 MoreThe Navigation Equations: Computing Position North, East, and Down
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...
See MoreControllability and the PBH Test [Control Bootcamp]
This video describes the PBH test for controllability and describes some of the implications for good choices of "B".
See MoreRandomized Singular Value Decomposition (SVD)
This video describes how to use recent techniques in randomized linear algebra to efficiently compute the singular value decomposition (SVD) for extremely large matrices.
See MoreMachine Learning Course by Andrew Ng
A very comprehensive and detailed course in machine learning , best suited for beginners with knowledge of high school linear mathematics.
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 MoreDerivation 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...
See MoreData-Driven Control: Balancing Transformation
In this lecture, we derive the balancing coordinate transformation that makes the controllability and observability Gramians equal and diagonal. This is the critical step in balanced model...
See MoreSVD: 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).
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 MoreStandard HW Problem #1: PID and Root Locus
A walk through of a typical homework problem using the root locus method to tune a PID controller. This is the first in what may be a series of homework style problems I'll cover. This is...
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 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 MoreMachine Learning and Cross-Validation
This lecture discusses the importance of cross-validation to assess models obtained via machine learning.
See MorePeter Ponders PID - InputShaping
Controls Engineering in the FIRST Robotics Competition
This guide is intended to make an advanced engineering topic approachable so it can be applied by those who aren’t experts in control theory. The intended audience is high school students...
See MoreStanford CS234: Reinforcement Learning | Winter 2019 | Lecture 15 - Batch Re...
Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group
Fourier Series [Matlab]
This video will describe how to compute the Fourier Series in Matlab.
See MoreUnderstanding Model Predictive Control, Part 2: What is MPC?
Learn how model predictive control (MPC) works. Using a simple car example, this video provides insight into an MPC controller’s strategy for finding the optimal steering wheel angle to...
See MoreThe Root Locus Method - Introduction
This Root Locus method is a fantastic way of visualizing how the poles of a system move through the S-plane when a single system parameter is varied from 0 to infinity. I show how to...
See MorePeter Ponders PID - Root Locus Is Useless
Trimming a Model of a Dynamic System Using Numerical Optimization
In this video we show how to find a trim point of a dynamic system using numerical optimization techniques. We generate a cost function that corresponds to ...
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