Predicting Second Order Transfer Function Behavior

Given a second order transfer function, I'll cover how we can predict the system behavior and derive the appropriate time constants and damping coefficient.

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Drone Simulation and Control, Part 3: How to Build the Flight Code

This video describes how to create quadcopter flight software from the control architecture developed in the last video. It covers how to process the raw sensor readings and use them with...

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Standard HW Problem #1: PID and Root Locus

A walk through of a typical homework problem using the root locus method to tune a PID controller. This is the first in what may be a series of homework style problems I'll cover. This is...

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Peter Ponders PID - KalmanFilters, Alpha-Beta-Gamma filters

A Kalman filter example with all the math is used to estimate the position, velocity and acceleration after corrupting perfect data with measurement and pro... See More

Standard 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 ...

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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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Peter Ponders PID - System Identification Advanced

System Identification of a more complex system with noise and truncation errors. This is the same open loop transfer function used in the root locus videohtt... See More

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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The Discrete Fourier Transform (DFT)

This video introduces the Discrete Fourier Transform (DFT), which is how to numerically compute the Fourier Transform on a computer. The DFT, along with its fast FFT implementation, is one...

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The Root Locus Method - Introduction

This Root Locus method is a fantastic way of visualizing how the poles of a system move through the S-plane when a single system parameter is varied from 0 to infinity. I show how to...

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Using ‘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) – ...

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Posicast Control - 1 ( In English)

This video is an introduction to a learning journey about Posicast Control structured as follows: - Preface - Motivation - Introduction to Posicast Control - Half-Cycle Posicast

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Lecture 3: Electrical and Mechanical System Transfer Functions

Transfer functions for electrical networks and mechanical systems (translational and rotational) are explained in this video See More

Singular Value Decomposition (SVD): Matrix Approximation

This video describes how the singular value decomposition (SVD) can be used for matrix approximation.

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Standard HW Problem #2: Which is the real open loop transfer function?

In this video, we’ll go through another standard homework problem so you can see how you can apply many of the things you’re learning into a single problem. The question is, we have two...

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Lecture 7: More on Signal Flow Graphs and Block Diagram Reduction

In this video lesson, extra problems on SFGs are considered, how to obtain an SFG from a block diagram is explained with the help of armature controlled dc m... See More

SVD: Importance of Alignment [Python]

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

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Heat Transfer Demonstration

In this video we demonstrate heat transfer through a metal bar. By heating one side of the bar we can impose a non-uniform temperature distribution across t...

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Control Bootcamp: Example Frequency Response (Bode Plot) for Spring-Mass-Da...

This video shows how to compute and interpret the Bode plot for a simple spring-mass-damper system.

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Inner Products in Hilbert Space

This video will show how the inner product of functions in Hilbert space is related to the standard inner product of vectors of data.

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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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Why Transfer Functions Matter

Once we know a process's transfer function we can model how it will respond to an variety of inputs very easily, check it out.

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Data-Driven Control: Balanced Truncation and BPOD Example

In this lecture, we explore balanced truncation and BPOD on a numerical example in Matlab.

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Types of Machine Learning 2

This lecture gives an overview of the main categories of machine learning, including supervised, un-supervised, and semi-supervised techniques, depending on the availability of expert labels...

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Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 5 - Value Fun...

Professor Emma Brunskill

Assistant Professor, Computer Science

Stanford AI for Human Impact Lab

Stanford Artificial Intelligence Lab

Statistical Machine Learning Group

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