
TikZ source Code: Sliding Mode Control Example System 2
TikZ source Code: Sliding Mode Control Example System 2
See MoreStandard 2nd Order ODEs: Natural Frequency and Damping Ratio
In this video we discuss writing 2nd order ODEs in standard form xdd(t)+2*zeta*wn*xd(t)+wn^2*x(t)where zeta = damping ratio wn = natural ...
See MoreControl Bootcamp: Laplace Transforms and the Transfer Function
Here we show how to compute the transfer function using the Laplace transform.
See MoreFrequency domain – tutorial 5: Fourier transform
In this video, we learn about Fourier transform which enables us to travel from time to frequency domain when a signal is not periodic. The learning objectiv...
See MoreEuler 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...
See MoreSVD: Image Compression [Python]
This video describes how to use the singular value decomposition (SVD) for image compression in Python.
See MoreControl 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)
See MoreUsing ‘minreal’ in Matlab to Perform Transfer Function Pole/Zero Cancellatio...
In this tutorial we look at using the ‘minreal’ function in Matlab to perform pole/zero cancellation from transfer functions.Topics and time stamps:(0:10) – ...
See MorePractical 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...
See MoreTime 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...
See MoreTime 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...
See MorePeter Ponders PID - InputShaping
Internal Model Control Example Problem
I walk through how to design a feedback controller based on a given process transfer function, using Internal Model Control.
See MoreDigital Twins
This lecture discusses the use of data-driven digital twins in advanced model-based design and engineering, and the related digital thread, which ties together the data throughout an entire...
See MoreDiscrete 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...
See MoreFeedforward Control Introduction
I introduce feedforward control (FFC) and describe how it can be used to minimize the difference between an output's setpoint and measured value (the error o...
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 MoreTikZ source Code: A single MIMO system
TikZ source Code: A single MIMO system
See MoreFrequency Response Analysis FRA and the Amplitude Ratio and Phase Angle
Process engineers model output response to inputs that oscillate via frequency response analysis (FRA). In this video, I'll go over amplitude ratios and phas...
See MoreThe 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.
See MoreNumerically Calculating Partial Derivatives
In this video we discuss how to calculate partial derivatives of a function using numerical techniques. In other words, these partials are calculated withou...
See MoreDesigning a Lead Compensator with Root Locus
This video walks through a phase lead compensator example using the Root Locus method.
See MoreTime domain - tutorial 8: LTI systems, impulse response & convolution
In this video, the following materials are covered:1) the beauty of linear & time invariant (LTI) systems2) why the impulse response of an LTI system is so i...
See MoreThe Inverse Laplace Transform
In this video we show how to perform the inverse Laplace transform on a signal in the Laplace domain to obtain its equivalent representation in the time doma...
See MoreUnderstanding 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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