
The Fourier Transform
This video will discuss the Fourier Transform, which is one of the most important coordinate transformations in all of science and engineering.
See MoreStanford CS234: Reinforcement Learning | Winter 2019 | Lecture 9 - Policy Gr...
Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group
See MoreCourse 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...
See MorePosicast Control -3 - ( In English )
In this video a Gantry-Crane control simulation problem is introduced. The problem is presented and some introductory simulations are shown.
See MoreFinding Transfer Functions from Response Graphs
Given a system response to a unit step change, in this video I'll cover how we can derive the transfer function so we can predict how our system will respond...
See MoreRL Course by David Silver - Lecture 5: Model Free Control
Dives into On Policy Monte-Carlo Control and Temporal Difference Learning, as well as Off-Policy Learning.
See MoreLecture 18: PI and Lag Compensator Design using Root Locus
Peter Ponders PID - Yet Another Linear Quadratic Control Video but...
Simple Examples of PID Control
In this video I continue the topic of PID control. We walk through a simple control system and visualize how each of the three paths, P, I, and D, all address specific problems that arise...
See MoreSecond Order Dynamics Example
How will a second order process respond in the time domain when subjected to a unit step input? What other behaviors can we expect to see and why? Tune in to...
See MoreLecture 10: Second Order Underdamped Systems: Unit step response and time do...
Peter Ponders PID - Controlling non-integrating single pole system. Part 1 ...
Part 1 shows why P only control shouldn't be used because the set point or target is never reached.Part 2 shows why I only control shouldn't be used because ...
See MoreStability of Closed Loop Control Systems
This video explains why we need design tools like the Routh-Hurwitz Criterion, Bode Plots, Nyquist Plots, and Root Locus. This is an introduction into the difficulties of determining the...
See MoreData 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...
See MoreControl Bootcamp: Laplace Transforms and the Transfer Function
Here we show how to compute the transfer function using the Laplace transform.
See MoreTikZ source Code: Both passivity indices applied
TikZ source Code: Both passivity indices applied.
See MoreSketching Root Locus Part 2
This is the second part of how to sketch a root locus by hand. However instead of following the normal rules for sketching a locus that you'd see in a book, I decided to explain the rules...
See MoreReachability and Controllability with Cayley-Hamilton [Control Bootcamp]
Here we use the Cayley-Hamilton Theorem to show that the full state space is reachable if and only if the system is controllable.
See MoreFuzzy Inference System Walkthrough | Fuzzy Logic Part 2
This video walks step-by-step through a fuzzy inference system. Learn about concepts like membership function shapes, fuzzy operators, multiple-input inference systems, and rule firing...
See MoreRandomized SVD: Power Iterations and Oversampling
This video discusses the randomized SVD and how to make it more accurate with power iterations (multiple passes through the data matrix) and oversampling.
See MoreTikZ source Code: Example Graph
TikZ source Code: Example Graph
See MoreData-Driven Control: Change of Variables in Control Systems (Correction)
This video corrects a typo in the previous lecture.
See MoreFinding Roots of a Polynomial Using Matlab, Mathematica, and a TI-83
In this video we show how to use Matlab and Mathematica to solve for roots of an arbitrary order polynomial. For fun, we also show how an old graphing calcu...
See MoreSVD: Image Compression [Matlab]
This video describes how to use the singular value decomposition (SVD) for image compression in Matlab.
See MoreControl Systems Lectures - Transfer Functions
This lecture describes transfer functions and how they are used to simplify modeling of dynamic systems.
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