Sketching Root Locus Part 1

Sketching a root locus by hand can be done by following some simple rules. However, more important than actually being able to sketch to plot is being able to use our knowledge to design...

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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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Coriolis Effect Demonstration (with Drones)

We demonstrate how rotating reference frames give rise to the Coriolis effect and centrifugal acceleration. In this video, we approach this as a simple physics demonstration and examine...

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Control Bootcamp: Full-State Estimation

This video describes full-state estimation. An estimator dynamical system is constructed, and it is shown that the estimate converges to the true state. Further, the eigenvalues of the...

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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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Velocity & Acceleration in Non-Inertial Reference Frames (Coriolis &...

In this video we derive a mathematical description of velocity and acceleration in non-inertial reference frame. We examine the effect of fictitious forces ...

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Drone Control and the Complementary Filter

Let's talk about the complementary filter and how we can use it to estimate the attitude of a drone using an IMU. It is such a dead simple filter, which is a good reason to learn it, but it...

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Linear Regression 3 [Python]

This video describes how the singular value decomposition (SVD) can be used for linear regression in Python (part 3).

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Laplace domain – tutorial 1: Laplace transform

In this video, we learn about Laplace transform which enables us to travel from time to the Laplace domain. The following materials are covered:1) why we nee...

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Frequency domain – tutorial 8: frequency spectra

In this video, we learn about frequency spectra which can be divided into two parts: phase and magnitude spectrum. Some examples will be provided to practice...

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IIR Filters - Theory and Implementation (STM32)

Tutorial on IIR (Infinite Impulse Response) digital filters, including digital filtering overview, IIR filter theory, FIR vs IIR, Z-transform design/analysis, design using analogue...

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Data-Driven Control: Balancing Transformation

In this lecture, we derive the balancing coordinate transformation that makes the controllability and observability Gramians equal and diagonal. This is the critical step in balanced model...

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Gimbal Lock in reference to the Apollo missions

A gimbal is a pivoted support that permits rotation of an object about an axis. For this reason, a set of three axes gimbals are used in spacecrafts to help with orientation attitude control...

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Control Systems Lectures - Time and Frequency Domain

This lecture introduces the time and frequency domains. A very quick description of the Laplace Transform is given which will be the base of many of classical control lectures in the future...

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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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Course Introduction (Signal Processing 101)

Learn Signal Processing 101 in 31 lectures covering time, frequency and Laplace domain in about 8 hours all together:https://www.youtube.com/watch?v=KZd68xga...

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Peter Ponders PID - Closed Loop Zeros

This video covers closed loop zeros, what causes zeros and the benefits and drawbacks of closed loop zeros.

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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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Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 13 - Fast Rei...

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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Peter Ponders PID- Motor position control

Symbolic pole placement is used to place the poles on the negative real axis in the s-domain so that the response never overshoots. See More

Neural Networks: Caveats

This lecture discusses some key limitations of neural networks and suggests avenues of ongoing development.

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Fourier Series and Gibbs Phenomena [Matlab]

This video will describe how to compute the Fourier Series in Matlab and Gibbs Phenomena that appear for discontinuous functions.

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Relative Gain Array RGA and Input Output Pairing

The RGA is a tool used by process engineers to determine how to pair inputs and outputs during controller design to strive for better performance and robustn...

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RL Course by David Silver - Lecture 9: Exploration and Exploitation

An overview of multi-armed bandits, contextual bandits and Markov Decision Processes.

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Understanding PID Control, Part 3: Expanding Beyond a Simple Derivative

This video describes how to make an ideal PID controller more robust when controlling real systems that don’t behave like ideal linear models. Noise is generated by sensors and is present in...

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