Control Bootcamp: Sensitivity and Complementary Sensitivity (Part 2)

Here we explore the sensitivity and complementary sensitivity functions, which are critical in understanding robustness and performance. (Part 2)

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Control Systems in Practice, Part 6: What Are Non-Minimum Phase Systems?

We like to categorize transfer functions into groups and label them because it helps us understand how a particular system will behave simply by knowing the group that it’s part of. We gain...

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Practical Implementation Issues with a Full State Feedback Controller

In this video we investigate practical implementation issues that may arise when attempting to use a full state feedback controller on a real system. We ill...

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Time domain - tutorial 7: system properties

In this video, we cover system properties. The concept of memoryless, causal, stable, invertible, time-invariant and linear systems is intuitively explained...

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Final 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...

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Time domain - tutorial 10: interconnection of LTI systems

In this video, we learn how to connect LTI systems to make a bigger system. The learning objectives are to:1) get familiar with parallel and series intercon...

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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...

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Overview of Dempster-Shafer Theory (Evidence Theory)

This is an overview of Dempster-Shafer Theory (Evidence Theory) that provides an introduction, definition, basic information about combination rules, some issues with the theory, and the...

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Peter Ponders PID - LQR Optimizing Two Outputs

To make this LQR video different I use LQR to control two output and find the best 'compromise' between controlling the level and temperature in a mixing tan... See More

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

Finding Transfer Functions from Response Graphs

Given a system response to a unit step change, in this video I'll cover how we can derive the transfer function so we can predict how our system will respond...

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Peter 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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SOPDT Sliding Mode Control ( SMC ) with Smith Predictor

I made this simulation SMC with Smith predictor just to see how it would work. I am not a process control guy but so many people struggle with temperature c... See More

Lecture 8: More on Transfer Functions

Discusses different types of transfer functions like proper, biproper, improper transfer functions and some numerical problems have been solved See More

Bode Plot Gain and Phase Margin Determination

I'll show you how we can determine the Gain and Phase Margin from a Bode Plot (at some fixed controller gain).

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The Taylor Series

In this video we discuss the Taylor Series (and the closely related Maclaurin Series). These are two specific types of Power Series that allow you to approx...

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Control Bootcamp: Loop shaping

This video explores shaping the loop transfer function to have desirable sensitivity and complementary sensitivity.

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Euler Angles and the Euler Rotation Sequence

In this video we discuss how Euler angles are used to define the relative orientation of one coordinate frame to another.Topics and Timestamps:0:00 – Introd...

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Stability of Closed Loop Control Systems

This video explains why we need design tools like the Routh-Hurwitz Criterion, Bode Plots, Nyquist Plots, and Root Locus. This is an introduction into the difficulties of determining the...

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Understanding and Sketching Individual Bode Plot Components

In this video we illustrate how 7 types of simple transfer functions contribute to a bode plot. We refer to these as ‘components’ and will cover the followi...

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Reachability and Controllability with Cayley-Hamilton [Control Bootcamp]

Here we use the Cayley-Hamilton Theorem to show that the full state space is reachable if and only if the system is controllable.

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Understanding Sensor Fusion and Tracking, Part 3: Fusing a GPS and IMU to Es...

This video continues our discussion on using sensor fusion for positioning and localization by showing how we can use a GPS and an IMU to estimate and object’s orientation and position. We...

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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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Derivation of the 2D Wave Equation

In this video we derive the 2D wave equation. This partial differential equation governs the motion of waves in a plane and is applicable for thin vibrating...

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Frequency domain – tutorial 6: Fourier transform tables

In this video, we learn about Fourier transform tables which enable us to quickly travel from time to the frequency domain. The main learning objective is to...

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