Gaussian/Normal Distributions

In this video we discuss the Gaussian (AKA Normal) probability distribution function. We show how it relates to the error function (erf) and discuss how to ...

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Singular Value Decomposition (SVD): Mathematical Overview

This video presents a mathematical overview of the singular value decomposition (SVD).

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What Is a Control System and Why Should I Care? (Part 2)

This talk gives a glimpse of some of the methods and math that allow us to understand feedback systems. Continuing on from Part 1, it gives a description of how we use scientific principles...

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The Routh-Hurwitz Stability Criterion

In this video we explore the Routh Hurwitz Stability Criterion and investigate how it can be applied to control systems engineering. The Routh Hurwitz Stabi...

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Data-Driven Control: Eigensystem Realization Algorithm Procedure

In this lecture, we describe the eigensystem realization algorithm (ERA) in detail, including step-by-step algorithmic instructions.

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SVD: Importance of Alignment [Matlab]

This video describes the importance of aligning data when using the singular value decomposition (SVD) (Matlab code).

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Drawing the root locus (Interactive Tool)

This page was developed to help student learn how to sketch the root locus by hand. You can enter a numerator and denominator for G(s)H(s) (i.e., the loop gain) and the program will guide...

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Using Root Locus to Meet Performance Requirements

In this video we investigate how to use the root locus technique to design a controller that meets certain performance specifications.Topics and timestamps:(...

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Sliding Mode Control Design for a Robotic Manipulator

This MATLAB/Simulink example shows how to design a controller for a robotic manipulator with two actuated joints using sliding mode control (SMC). SMC is useful for systems that require...

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Linear Regression 2 [Python]

This video describes how the singular value decomposition (SVD) can be used for linear regression in Python (part 2).

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Frequency domain – tutorial 13: sampling (theory of everything in signal pro...

In this video, we learn about sampling which enables us to travel from analog to digital world. The following materials are covered:1) why traveling to the ...

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Control Bootcamp: Benefits of Feedback on Cruise Control Example

Here we investigate the benefits of feedback for systems with uncertain dynamics and disturbances, as illustrated on a cruise control example.

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Machine Learning Control: Tuning a PID Controller with Genetic Algorithms

This lecture shows how to use genetic algorithms to tune the parameters of a PID controller. Tuning a PID controller with genetic algorithms is not generally recommended, but is used to...

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A 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 aircraft. This video outlines the...

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An interactive feedforward tool for FeedForward Control

This interactive software tool is focused on basic and advanced concepts of feedforward control.

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Time domain - tutorial 9: convolution examples

In this video, we use a systematic approach to solve lots of examples on convolution. By the end of this lecture, you should be able to find convolution betw...

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Basic Control Lectures

Systems approach, understanding and describing the operation of systems and methods of controlling them are among the basic knowledge of engineering education. But understanding the main...

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Understanding 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...

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Setting Up Your Radio Connection - dRehmFlight VTOL

This video will show you how to set up your radio to work with dRehmFlight VTOL. The code supports PWM, PPM, and SBUS type receivers, allowing you to connect and use 6 channels within the...

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Routh Stability Criterion Intro and Example

I introduce and walk through an example problem of how we can use the Routh Stability Criterion to rigorously determine the necessary and sufficient conditio...

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PID Control with Posicast, 9 - (In English)

This is part III of PID control with Posicast

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Control Bootcamp: Observability

This video explores the observability of a linear system, namely the ability to estimate the full state "x(t)" from a time-history of limited output measurements "y(t)".

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Peter 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...

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IMC Design of an Unstable Process Example

In this video, I cover how we can use IMC method to rigorously design a controller for an inherently unstable process (has a positive pole).

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Lecture 16: More on Root Locus and Gain Compensation

Extra numerical problems using Root locus is discussed in this video. Then follows, Gain compensation using Root Locus See More