
Introduction to Ordinary Differential Equations
In this video we introduce the concept of ordinary differential equations (ODEs). We give examples of how these appear in science and engineering as well as...
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Lecture 17: Introduction to Compensators/Controllers
Cartesian, Polar, Cylindrical, and Spherical Coordinates
In this video we discuss Cartesian, Polar, Cylindrical, and Spherical coordinates as well as develop forward and reverse transformations to go from one coord...
See MoreDesigning a Lag Compensator with Bode Plot
This video walks through a phase lag compensator example using the Bode Plot method.
See MoreRoot Locus Plot: Common Questions and Answers
In this video I go through some of the common questions I've received on my other root locus videos. 1) Why do we call the poles of a system the roots?2) How do I plot the damping ratio...
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 MoreLeast Squares Regression and the SVD
This video describes how the SVD can be used to solve linear systems of equations. In particular, it is possible to solve nonsquare systems (overdetermined or underdetermined) via least...
See MoreGain and Phase Margins Explained!
In this video I explain gain and phase margins. If you are confused by this topic I hope this video will help tie all of the concepts together that go into understanding what gain and phase...
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 MoreIntroduction to Partial Differential Equations
This is the first lesson in a multi-video discussion focused on partial differential equations (PDEs).In this video we introduce PDEs and compare them with o...
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 MoreTime domain - tutorial 4: transformation examples
In this video, we solve examples to practice different signal transformations using a systematic approach. By the end of this lecture, you should be able to ...
See MoreControllability [Control Bootcamp]
This lecture explores when a linear system is controllable. We begin with the simple test in terms of the rank of the controllability matrix on a few intuitive examples.
See MoreControl systems with non-minimum phase dynamics
This video describes control systems that have non-minimum phase dynamics, characterized by a zero of the input--output transfer function in the right-half-plane. Physically, these systems...
See MoreLaplace domain – tutorial 6: Transfer function & system properties
In this video, we learn about transfer function and system properties. The following materials are covered:1) what is a transfer function?2) relation between...
See MoreIMC PID Design of a Second Order Process
IMC PID Design of a Second Order Process
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 MoreSecond Order Dynamics
A crash course overview on second order dynamics in the frequency domain, what the key parameters are, and why they matter.
See MorePeter Ponders PID - LQR Optimizing Two Outputs
Lecture 16: More on Root Locus and Gain Compensation
PID 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 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 ...
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
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