
Introduction 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 MoreLecture 16: More on Root Locus and Gain Compensation
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 MoreLecture 14: Routh Hurwitz Criterion
Posicast 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 MoreLecture 20: PID and Lag-Lead Compensator Design using Root Locus
Frequency 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 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 MoreStanford 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
Linear Systems [Control Bootcamp]
Linear systems of ordinary differential equations are analyzed using eigenvalues and eigenvectors. This will be the mathematical foundation of this bootcamp on linear control theory.
See MoreFeedback Control and Block Diagram Introduction
How do engineers begin to design controllers to respond to disturbances and maintain set points? In this example, I'll discuss how we can design a controller...
See MoreBode Plots by Hand: Real 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 MoreTypes of Machine Learning 1
This lecture gives an overview of the main categories of machine learning, including supervised, un-supervised, and semi-supervised techniques, depending on the availability of expert labels...
See MoreInternal Model Control IMC Introduction
Internal Model Control IMC Introduction
See MoreIntroductory course on aerial robotics, University of Pennsylvania
This course exposes you to the mechanics, design, control, and planning of robotic flight in 3 dimensional environments for micro-aerial vehicles, with an emphasis on quadrotors.
See MoreControl Systems in Practice, Part 6: What Are Non-Minimum Phase Systems?
We like to categorize transfer functions into groups and label them because it helps us understand how a particular system will behave simply by knowing the group that it’s part of. We gain...
See MoreFirst Order Dynamics in Process Control
An overview on the identification and behavior of first order dynamics in process control.
See MoreNumerically Linearizing a Dynamic System
In this video we show how to linearize a dynamic system using numerical techniques. In other words, the linearization process does not require an analytical...
See MorePeter Ponders PID - InputShaping
Dynamic Mode Decomposition (Examples)
In this video, we continue to explore the dynamic mode decomposition (DMD). In particular, we look at recent methodological extensions and application areas in fluid dynamics, disease...
See MoreThe Laplace Transform
In this video we show how to perform the Laplace transform on a signal in the time domain to obtain its equivalent representation in the Laplace domain. Top...
See MorePeter Ponders PID - Root Locus Is Useless
Introduction to the Fourier Transform (Part 1)
This video is an introduction to the Fourier Transform. I try to give a little bit of background into what the transform does and then I go step by step through explaining the Inverse...
See MoreUsing a Homogeneous Transformation Matrix to Combine Rotation and Translatio...
In this video we discuss how to properly deal with coordinate frames that are both rotated and translated from one another. We develop a homogeneous transformation matrix which combines a...
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...
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