
Type
Experience
Scope
Simulating the Logistic Map in Matlab
This video shows how simple it is to simulate discrete-time dynamical systems, such as the Logistic Map, in Matlab.
See MoreBode Plot Drawing Tool
This page demonstrates the techniques described previously to take a transfer function defined by the user, identify the constituent terms, draw the individual Bode plots, and then combine...
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 MoreCORRECTION: Bode Plots by Hand: Complex Poles or Zeros
I explain how to determine the straight-line estimate of the Bode Plot for a second order transfer function with a pair of complex poles. This video is a repeat of the last half of the Bode...
See MoreMachine Learning - Andrew Ng, Stanford University
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech...
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 MoreData-Driven Control: Balanced Models with ERA
In this lecture, we connect the eigensystem realization algorithm (ERA) to balanced proper orthogonal decomposition (BPOD). In particular, if enough data is collected, then ERA produces...
See MoreSVD Method of Snapshots
This video describes how to compute the singular value decomposition (SVD) using the method of snapshots, by Sirovich 1987.
See MorePosicast Control 2 - ( In English )
This video is about the Half-Cycle Posicast. It includes some hints about how to simulate this type of control using Simulink
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 MoreData-Driven Control: Observer Kalman Filter Identification
In this lecture, we introduce the observer Kalman filter identification (OKID) algorithm. OKID takes natural input--output data from a system and estimates the impulse response, for later...
See MoreUnitary Transformations
This video discusses unitary matrix transformations and how they relate to the geometry of the singular value decomposition (SVD).
See MorePeter Ponders PID - LQR Optimizing Two Outputs
Euler (Gimbal Lock) Explained
In this video we explore Euler Rotations, the most common method for orienting objects in 3d. It's by-product "gimbal lock" can cause headaches for animators because the animated motion can...
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 MoreTrimming 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 a straight and level flight...
See MoreDrone Simulation and Control, Part 3: How to Build the Flight Code
This video describes how to create quadcopter flight software from the control architecture developed in the last video. It covers how to process the raw sensor readings and use them with...
See MoreLinear 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 MorePeter Ponders PID - Controlling a non-integrating single pole system. Part 3...
Part 3 uses PI control which is the only practical means of control a non-integrating single pole system.http://deltamotion.comhttp://forum.deltamotion.com
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...
See MoreDesign of Embedded Robust Control Systems Using MATLAB®/Simulink®
Robust control theory allows for changes in a system whilst maintaining stability and performance. Applications of this technique are very important for dependable embedded systems, making...
See MoreFinal Value Theorem and Steady State Error
This Final Value Theorem is a way we can determine what value the time domain function approaches at infinity but from the S-domain transfer function. This is very helpful when we're trying...
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 MoreTikZ source Code: Cascade of several subsystems
TikZ source Code: Cascade of several subsystems.
See MoreSecond Order Dynamics in Process Control
How do we simulate two first order transfer functions in series, a inherently second order system, or two coupled differential equations? Tune in to find out!
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