TikZ source Code: Switching Smooth Filippov

TikZ source Code: Switching Smooth Filippov

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Understanding Model Predictive Control, Part 6: How to Design an MPC Control...

Learn how to design an MPC controller for an autonomous vehicle steering system using Model Predictive Control Toolbox™. This video walks you through the design process of an MPC controller...

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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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Introduction to Bode Plots

In this video we introduce the concept of Bode plots including what they represent, how they are generated, as well as how to use Matlab tools to work with B...

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Derivation and Solution of Laplace’s Equation

In this video we show how the heat equation can be simplified to obtain Laplace’s equation. We investigate how to solve Laplace’s equation using separation ...

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Control Systems with MATLAB - Root Locus

Few root locus examples have been explained in this video using MATLAB comand rltool. Also, the MATLAB GUI called rltool with which user can click and insert... See More

Laplace domain – tutorial 5: Inverse Laplace transform

In this video, we cover inverse Laplace transform which enables us to travel back from Laplace to the time domain. We will learn how to use simple tricks alo...

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A Nonlinear, 6 DOF Dynamic Model of an Aircraft: the Research Civil Aircraft...

In this video we develop a dynamic model of an aircraft by describing forces and moments generated by aerodynamic, propulsion, and gravity that act on the aircraft. This video outlines the...

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Control Systems with MATLAB - Modelling

This video explains how to find the inverse Laplace transform of a time function using MATLAB. Also, this demonstrates how to find the transfer function of e... See More

Introduction to Deep Learning by Andrew NG [COMPLETE]

Andrew Ng's course on deep learning and neural networks.

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Frequency domain – tutorial 3: filtering (periodic signals)

In this video, we learn about filtering which enables us to manipulate the frequency content of a signal. A common filtering application is to preserve desi...

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Bode Plots by Hand: Complex Poles or Zeros

This is a continuation of the Control Systems Lectures. This video describes the benefit of being able to approximate a Bode plot by hand and explains what a Bode plot looks like for a...

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Mounting and Configuring the IMU - dRehmFlight VTOL

This video will show you how to verify proper operation of the IMU for dRehmFlight VTOL before your first flight. It will also show you how to correctly mount the IMU to your aircraft. The...

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The Laplace Transform - A Graphical Approach

A lot of books cover how to perform a Laplace Transform to solve differential equations. This video tries to show graphically what the Laplace Transform is doing and why figuring out the...

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Relative Gain Array RGA Analysis

I cover how you can find the relative gain array from the steady state gain array, and interpret the results to determine which input to pair with which outp...

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Singular Value Decomposition (SVD): Dominant Correlations

This lectures discusses how the SVD captures dominant correlations in a matrix of data.

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Peter Ponders PID - Controlling an Under Damp Mass and Spring System

Demonstrates:How to calculate the PID gains. The importance of the derivative gain. How to simulate the mass and spring systemControl limitations based on s...

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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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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 3 - Model-Fr...

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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Data-Driven Control: Eigensystem Realization Algorithm

In this lecture, we introduce the eigensystem realization algorithm (ERA), which is a purely data-driven algorithm to obtain balanced input—output models from impulse response data. ERA was...

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SVD: Image Compression [Python]

This video describes how to use the singular value decomposition (SVD) for image compression in Python.

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Peter Ponders PID - Why PID with 2nd Derivative Gain?

If you have ever tuned a hydraulic system and wondered why PID control didn't work better than PI control the answer is here. Since the 1980s people have kn...

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Controls Engineering in the FIRST Robotics Competition

This guide is intended to make an advanced engineering topic approachable so it can be applied by those who aren’t experts in control theory. The intended audience is high school students...

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RL Course by David Silver - Lecture 4: Model-Free Prediction

An introduction to Monte-Carlo Learning and Temporal Difference Learning

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