Introduction to Partial Differential Equations

This is the first lesson in a multi-video discussion focused on partial differential equations (PDEs).In this video we introduce PDEs and compare them with o...

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Lecture 25: Nyquist stability criterion

Discusses some basic concepts, Principle of Argument and hence, Nyquist stability criterion See More

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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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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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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Time domain - tutorial 4: transformation examples

In this video, we solve examples to practice different signal transformations using a systematic approach. By the end of this lecture, you should be able to ...

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Matrix Completion and the Netflix Prize

This video describes how the singular value decomposition (SVD) can be used for matrix completion and recommender systems.

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dRehmFlight VTOL - Teensy (Arduino) Flight Controller and Stabilization

dRehmFlight VTOL is a new flight controller and stabilization package intended to be used for small to medium sized hobby or research projects. dRehmFlight is the code, and the physical...

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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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Sparse Identification of Nonlinear Dynamics for Model Predictive Control

This lecture shows how to use sparse identification of nonlinear dynamics with control (SINDYc) with model predictive control to control nonlinear systems purely from data.

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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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State Space in Process Control

An overview on how we can derive a state space model from a given set of state variables and inputs, as well as an intro to deviation variables. This is part...

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Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 2 - Given a M...

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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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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Data Preprocessing and the Short-Time Fourier Transform | Deep Learning for ...

Data in its raw form might not be ideal for training a network. There are some changes we can make to the data that are often desired or sometimes necessary in order to make training faster...

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RL Course by David Silver - Lecture 6: Value Function Approximation

A deep dive into incremental methods and batch methods of value function approximation.

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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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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

Robotic Car, Closed Loop Control Example

I demonstrate the value of closed loop control in an uncertain environment using my Zumo Robot car. If you're interested in building one yourself and trying this out I think I've given you...

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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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Linearizing a Simulink Model Using the Linear Analysis Tool and ‘linmod’

In this video we show how to linearize a non-linear Simulink model using numerical techniques. This approach is extremely powerful as it allows automatic ge...

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The Navigation Equations: Computing Position North, East, and Down

In this video we show how to compute the inertial velocity of a rigid body in the vehicle-carried North, East, Down (NED) frame. This is achieved by rotating the velocity expressed in the...

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Understanding Sensor Fusion and Tracking, Part 1: What Is Sensor Fusion?

This video provides an overview of what sensor fusion is and how it helps in the design of autonomous systems. It also covers a few scenarios that illustrate the various ways that sensor...

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Time Domain Analysis with Matlab: Using the Linear System Analyzer

In this video we explore various Matlab functions and workflows to perform time domain analysis of a dynamic system. This includes the use of ‘tf’, ‘step’, ...

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Derivation of Rodrigues’ Rotation Formula

In this video we explain and derive Rodrigues’ Rotation Formula. This functions describes how to rotate an arbitrary vector about another arbitrary axis of rotation. This has applications to...

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