Peter Ponders PID - Feed Forward Theory and Calculations

The formulas for feed forwards are derived for motors and hydraulic actuators. See More

Discrete control #5: The bilinear transform

This is video number five on discrete control and here, we’re going to cover the famous and useful bilinear transform. The bilinear transform is yet another method for converting, or mapping...

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Sketching Root Locus Part 2

This is the second part of how to sketch a root locus by hand. However instead of following the normal rules for sketching a locus that you'd see in a book, I decided to explain the rules...

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Introduction to Full State Feedback Control

In this video we introduce the concept of a full state feedback controller. We discuss how to use this system to place the eigenvalues of the closed loop sys...

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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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Final Value Theorem

In this video we discuss the Final Value Theorem. Given a signal in the Laplace domain, this allows us to predict the steady state value of the signal in th...

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TikZ source Code: A single MIMO system

TikZ source Code: A single MIMO system

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The Fast Fourier Transform (FFT)

Here I introduce the Fast Fourier Transform (FFT), which is how we compute the Fourier Transform on a computer. The FFT is one of the most important algorithms of all time.

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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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Designing a Lead Compensator with Bode Plot

This video walks through a phase lead compensator example using the Bode Plot method.

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Lecture 9: Time response and Time domain specifications

In this lecture, Time response is discussed in detail. Also discussed are different time domain specifications See More

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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Control Bootcamp: Linear Quadratic Gaussian (LQG)

This lecture combines the optimal full-state feedback (e.g., LQR) with the optimal full-state estimator (e.g., LQE or Kalman Filter) to obtain the sensor-based linear quadratic Gaussian (LQG...

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Lecture 26: Stability examples, GM and PM using Nyquist Stability Criterion

This video discusses some numerical examples to show how stability can be determined using Nyquist stability criterion. Also explained is how to calculate ga... See More

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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Posicast 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

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Machine Learning Control: Genetic Algorithms

This lecture provides an overview of genetic algorithms, which can be used to tune the parameters of a control law.

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Second 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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Understanding Model Predictive Control, Part 4: Adaptive, Gain-Scheduled and...

This video explains the type of MPC controller you can use based on your plant model, constraints, and cost function. An optimization problem with these properties is a convex one, and you...

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Visually Determining Transfer Functions

Process Control classes can get pretty hard to follow when you lose sight of what transfer functions really are. How do you get them in the first place?

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Apollo'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...

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Introduction to System Stability and Control

This video attempts to provide an intuitive understanding of concepts like stability and stability margin. I briefly describe both of these topics with examples and explain how you can...

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Deploying Deep Learning Models | Deep Learning for Engineers, Part 5

This video covers the additional work and considerations you need to think about once you have a deep neural network that can classify your data. We need to consider that the trained network...

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Fuzzy Inference System Walkthrough | Fuzzy Logic Part 2

This video walks step-by-step through a fuzzy inference system. Learn about concepts like membership function shapes, fuzzy operators, multiple-input inference systems, and rule firing...

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Peter Ponders PID, Natural Frequency vs Frequency of Acceleration

This video is intended for servo hydraulic system designers and those that program hydraulic servo systems but it does show how several of the techniques sho...

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