
Fourier Series and Gibbs Phenomena [Matlab]
This video will describe how to compute the Fourier Series in Matlab and Gibbs Phenomena that appear for discontinuous functions.
See MoreLecture 10: Second Order Underdamped Systems: Unit step response and time do...
Lecture 30: Canonical Forms
Time Domain Analysis: Performance Metrics for a First Order System
In this video we introduce the concept of time domain analysis for dynamic systems. We examine a first order dynamic system and derive how various performan...
See MoreTikZ source Code: Switching Smooth Filippov
TikZ source Code: Switching Smooth Filippov
See MoreLecture 24: Stability using Bode plots
Cayley-Hamilton Theorem [Control Bootcamp]
Here we describe the Cayley-Hamilton Theorem, which states that every square matrix satisfies its own characteristic equation. This is very useful to prove results related to...
See MoreSolving the 1D Wave Equation
In this video, we solve the 1D wave equation. We utilize the separation of variables method to solve this 2nd order, linear, homogeneous, partial differenti...
See MoreLecture 27: Lead Compensator Design using Bode plots
Frequency domain – tutorial 12: FT of periodic signals
In this video, we learn how to find the Fourier transform for periodic signals. The following materials are covered:1) relation between Fourier transform and...
See MoreInstrument Kit for ME 316
This hardware kit accompanies the textbook "Project Based Engineering Instrumentation with CircultPython" by Dr. Carlos Montalvo. Using this hardware and the textbook you’ll build some...
See MoreTime domain - tutorial 6: elementary signals
In this video, we cover two elementary signals, unit step and unit impulse, which will be extensively used in this course. The following materials are covere...
See MoreCascade Control Intro
How can we improve the disturbance rejection of our controllers using additional, relevant measurements? Tune in to find out!
See MoreUnderstanding Model Predictive Control, Part 7: Adaptive MPC Design with Sim...
In this video, you will learn how to design an adaptive MPC controller for an autonomous steering vehicle system whose dynamics change with respect to the longitudinal velocity. After you...
See MoreConstraint Enforcement for Improved Safety | Learning-Based Control
Learn about the constraints of your system. Then see a how to enforce those constraints so the system does not violate them. Constraint enforcement is important for safety-critical...
See MoreDynamic Modeling in Process Control
I'll show you how we can build the dynamic models necessary to derive process transfer functions as an introduction to process control.
See MoreApollo's Flight Computer: Epitome of Engineering
The Apollo missions' success can be vastly accredited to the success of building a robust, one-of-a-kind flight computer for its guidance, navigation and control. Follow this video to...
See MoreSimple Examples of PID Control
In this video I continue the topic of PID control. We walk through a simple control system and visualize how each of the three paths, P, I, and D, all address specific problems that arise...
See MoreEquations of Motion for a Planar Vehicle
In this video we outline equations of motion for a simple planar vehicle. This model is suitable for vehicles such as boats or hovercraft that that are rest...
See MoreWhy Learn Control Theory
In this video I present a few reasons why learning control theory is important and try to give some motivation to continue learning.
See MoreFuzzy Logic, Part 3: Design and Applications of a Fuzzy Logic Controller
This video walks you through the process of designing a fuzzy inference system that can balance a pole on a cart. You can design a fuzzy logic controller using just experience and intuition...
See MoreA Nonlinear, 6 DOF Dynamic Model of an Aircraft: the Research Civil Aircraft...
In this video we develop a dynamic model of an aircraft by describing forces and moments generated by aerodynamic, propulsion, and gravity that act on the ai...
See MorePeter Ponders PID - Cascade Control Part2
The inner loop pole locations and gains are calculated first so the inner loop pole locations are determined by the user. The outer loop poles are still pla...
See MoreDiscrete control #1: Introduction and overview
So far I have only addressed designing control systems using the frequency domain, and only with continuous systems. That is, we’ve been working in the S domain with transfer functions. We...
See MoreRouth-Hurwitz Criterion, Beyond Stability
This video explains of few uses of the Routh-Hurwitz Criterion that go beyond simply determining how many poles exist in the right half plane. I cover how to determine gain margin and how...
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