
Why Padé Approximations Are Great! | Control Systems in Practice
Watch an introduction to Padé approximations. Learn what Padé approximations are and how to calculate them, why they are important, and when to use them—specifically in the context of time...
See MoreWhat are Lead Lag Compensators? An Introduction.
This videos covers the very basic definition of what a lead/lag compensator is. Every control system engineer should have a basic understanding of lead/lag compensators since along with PID...
See MoreUnderstanding the Discrete Fourier Transform and the FFT
The discrete Fourier transform (DFT) transforms discrete time-domain signals into the frequency domain. The most efficient way to compute the DFT is using a fast Fourier transform (FFT)...
See MoreA simple MEMS gyro model using MATLAB / Simulink
This video walks through how to model a simple MEMS gyroscope using MATLAB/Simulink. At the end I show you how to linearize this model to use in your linear control loop design and analysis.
See MoreControl Systems in Practice, Part 5: A Better Way to Think About a Notch Fil...
This video describes an intuitive way to approach notch filter design by thinking about the problem as an inverted, lightly damped, second-order low-pass filter. Then, two additional poles...
See MoreKristin Pettersen Lectures on Nonlinear Control
Kristin Pettersen Lectures on Nonlinear Control, including many of the necessary mathematical tools and concepts.
See MoreRegulatory PID (Polish)
W tym odcinku, opisze wam podstawy działania regulatorów PID.
See MoreProjectile Motion Practice Problems
In this video, practice along questions on an important topic of Kinematics i.e Projectile Motion. Practicing would help you remember the concepts and also understand them better.
See MoreRobotic Car - How to read Gyro Datasheets (Part 1)
Have you ever been lost trying to understand the information in a gyro datasheet? This video should help! In this first part I go through the mechanical characteristics of a MEMS gyro and...
See MoreWind Tunnel Data Analysis and Testing Considerations
This is the last video in our 3 part series on wind tunnel testing. In this video, we discuss what typical plots of wind tunnel data might look like and how to extract relevant information...
See MorePeter Ponders PID - Introduction
The purpose of this video is to inform the viewer about what to expect. My videos go much deeper than the typical videos. They are geared for graduate st...
See MoreExtremum Seeking Control Applications
This lecture highlights some of the many applications of extremum-seeking control (ESC) performed by Steve Brunton and collaborators.
See MoreSystem Identification: Sparse Nonlinear Models with Control
This lecture explores an extension of the sparse identification of nonlinear dynamics (SINDy) algorithm to include inputs and control. The resulting SINDY with control (SINDYc) can be used...
See MoreWhat Is a Control System and Why Should I Care? (Part 1)
This video is the first of a two part series. It in introduces the basic concepts of feedback with lots of visual examples. The idea is to show that not only are these principles...
See MoreKoopman Spectral Analysis (Continuous Spectrum)
In this video, we discuss how to use Koopman theory for dynamical systems with a continuous eigenvalue spectrum. These systems are quite common, such as a pendulum, where the period...
See MoreRobust Control, Part 4: Working with Parameter Uncertainty
The previous two videos showed a few different ways to quantify how robust a system is to model and plant uncertainty by looking at how much input and output variation it can handle before...
See MoreIntroduction to Linear Quadratic Regulator (LQR) Control
In this video we introduce the linear quadratic regulator (LQR) controller. We show that an LQR controller is a full state feedback controller where the gain matrix K is computed by solving...
See MoreVideo Lectures on Automatic Control
A collection of 32 video lectures on automatic control by Dr. Rajesh Joseph Abraham.
See MoreModel Reference Adaptive Control Part-1
Video course on nonlinear and adaptive control by Dr. Shubhendu Bhasin, Department of Electrical Engineering, IIT Delhi.
See MoreControl Bootcamp: Limitations on Robustness
This video describes some of the fundamental limitations of robustness, including time delays and right-half plane zeros.
See MoreBridging the Gap: Using Real World Problems to Unveil Deep Control Principle...
This is a plenary lecture given at the 2020 IEEE Conference on Control Systems Technology, Montreal, Canada, August 24-26, 2020. There is no paper, but this is the video of the talk.
See MoreSystems Engineering, Part 2: Towards a Model-Based Approach
The role of systems engineering is to help find and maintain a balance between the stakeholder needs, the management needs, and the engineering needs of a project. So we can think of it as...
See MoreControl System Lectures - Bode Plots, Introduction
This lecture is an introduction to frequency response methods, and in particular describes the Bode plot. I go through how it is generated and why we use it to visualize the frequency...
See MoreIntro to Data Science: What is Data Science?
This lecture provides an overview of the various components of data science, including data collection, cleaning, and curation, along with visualization, analysis, and machine learning (i.e...
See MoreAdvanced process control (APC): Theory & Applications in SAGD
This webinar is presented by Thiago Avila and covers what APC is, why we do it, examples of APC in the SAGD industry, what optimization opportunities are available, and where this technology...
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