
Peter Ponders PID - System Identification Basics
Linear Regression 1 [Python]
This video describes how the singular value decomposition (SVD) can be used for linear regression in Python (part 1).
See MoreLinearizing a Simulink Model Using the Linear Analysis Tool and ‘linmod’
In this video we show how to linearize a non-linear Simulink model using numerical techniques. This approach is extremely powerful as it allows automatic ge...
See MoreTikZ source Code: Feedback systems
TikZ source Code: Feedback systems
See MoreData-Driven Control: Balanced Truncation
In this lecture, we describe the balanced truncation procedure for model reduction, where a handful of the most controllable and observable state directions are kept for the reduced-order...
See MoreStandard HW Problem #2: Which is the real open loop transfer function?
In this video, we’ll go through another standard homework problem so you can see how you can apply many of the things you’re learning into a single problem. The question is, we have two...
See MoreMoving Average Filter - Theory and Software Implementation
Moving average filter theory (time domain, frequency domain, Z-transform, FIR, etc..) and software implementation on a real-time embedded system using an STM32 microcontroller and a...
See MoreTime Domain Analysis with Matlab: Using the Linear System Analyzer
In this video we explore various Matlab functions and workflows to perform time domain analysis of a dynamic system. This includes the use of ‘tf’, ‘step’, ...
See MoreTikZ source Code: Simulation Graph
TikZ source Code: Simulation Graph
See MoreData-Driven Control: The Goal of Balanced Model Reduction
In this lecture, we discuss the overarching goal of balanced model reduction: Identifying key states that are most jointly controllable and observable, to capture the most input—output...
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 MoreDerivation of the Heat Equation
In this video, we derive the heat equation. This partial differential equation (PDE) applies to scenarios such as the transfer of heat in a uniform, homogen...
See MoreWhat Is a Control System and Why Should I Care? (Part 1)
This talk introduces the basic concepts of feedback with lots of visual examples.
See MoreDrone Simulation and Control, Part 5: Tuning the PID controller
In the last video, we learned how accurate, nonlinear models are great for simulation but they don’t lend themselves well to linear analysis and design. This video takes the nonlinear model...
See MorePID Control - A brief introduction
In this video, I introduce the topic of PID control. This is a short introduction design to prepare you for the next few lectures where I will go through several examples of PID control....
See MoreFrequency domain – tutorial 1: concept of frequency (with Chinese subtitle)
In this video, the following materials are covered:1) intuitive explanation on the frequency concept 2) what is the relation between time and frequency domai...
See MoreComputing the DFT Matrix
This video discusses how to compute the Discrete Fourier Transform (DFT) matrix in Matlab and Python. In practice, the DFT should usually be computed using the fast Fourier transform (FFT)...
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 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 5: Fourier transform
In this video, we learn about Fourier transform which enables us to travel from time to frequency domain when a signal is not periodic. The learning objectiv...
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