
Singular Value Decomposition (SVD): Overview
This video presents an overview of the singular value decomposition (SVD), which is one of the most widely used algorithms for data processing, reduced-order modeling, and high-dimensional...
See MoreSystems Engineering, Part 3: The Benefits of Functional Architectures
Functional, logical, and physical architectures are important tools for designing complex systems. We describe what architectures are and how they contribute to the early stages of a project...
See MoreReal-Time Software Implementation of Analog Filters
Modelling analog filters, discretisation, and implementation of the digitally-equivalent filters on a real-time, embedded system (STM32). Includes theory, DSP, firmware, and results.
See MoreNeural Network Overview
This lecture gives an overview of neural networks, which play an important role in machine learning today.
See More3D Kinematics, Free Falling, Reference Frames
Walter Lewin is one of the most reputed professors and was a former lecturer at MIT. His free to watch series on YouTube titled 8.01 is an excellent one for undergrads and high school...
See MoreOIT System Design Laboratory (Japanese)
A collection of video lectures from OIT SDL.
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 MoreSystem Identification: DMD Control Example
This lecture gives a Matlab example of dynamic mode decomposition with control (DMDc) for full-state system identification.
See MoreWhat are Transfer Functions? | Control Systems in Practice
This video introduces transfer functions - a compact way of representing the relationship between the input into a system and its output. It covers why transfer functions are so popular and...
See MoreRobust Control, Part 3: Disk Margins for MIMO Systems
This video shows how margin can be used to assess the robustness of multi-input, multi-output systems. We’ll show how disk margin is a more complete way to represent margin for MIMO systems...
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 MoreNonlinear System Identification | System Identification, Part 3
Learn about nonlinear system identification by walking through one of the many possible model options: A nonlinear ARX model. Brian Douglas covers the importance of adding an offset term to...
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 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 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 MoreIntro to Data Science: Overview
This lecture provides an introductory overview to data science. I will discuss the high-level goals of this lecture series, and how data science is about asking and answering questions with...
See MoreLearning Dynamic Systems & Control Engineering with a Video Game
Engineering Students at Northern Illinois University are learning one of their core subjects, Dynamic Systems & Control, with the aid of a video game.
See MoreWind Tunnel Testing: Introduction and Data Acquisition
This is the first of our 3 part series on wind tunnel testing. In this video, we introduce the concept of wind tunnel testing as well as discuss the process for acquiring aerodynamic data in...
See MoreControlling Robotic Swarms
Come with me to the Robotics, Aerospace, and Information Networks lab at the University of Washington to learn the basics of swarm robotics. Find out how simple distributed algorithms can...
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 Systems in Practice, Part 1: What Control Systems Engineers Do
This video walks through the phases of a typical project and describes what it means to be a control systems engineer. It covers the concept formulation phase, in which your job is to help...
See MoreHow I put the Google Maps Algorithm on my Autonomous Drone
This fully autonomous drone has an onboard computer ‘brain’, camera ‘eyes’, and an algorithm that generates the fastest path around unknown obstacles as they’re detected mid-flight. Let’s...
See MoreVectors, Dot Products, Cross Products - 3D Kinematics
Walter Lewin is one of the most reputed professors and was a former lecturer at MIT. His free to watch series on YouTube titled 8.01 is an excellent one for undergrads and high school...
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