
Type
Experience
Scope
The Fourier Transform and Derivatives
This video describes how the Fourier Transform can be used to accurately and efficiently compute derivatives, with implications for the numerical solution of differential equations.
See MorePID Control with Posicast Control 8 - ( In English )
This is the follow up of PID Control with Posicast ( Part II )
See MoreRelationship Between Poles and Performance of a Dynamic System
In this video we establish the relationship between pole locations and associated performance of a dynamic system. This relationship is useful to translate ...
See MoreControl Systems with MATLAB - Time Domain Analysis
Peter Ponders PID - Cascade Control Part1
I cover whether cascade control is necessary. Why there needs to be a feed back for every loop. How to calculate gains. Bode plots and ratio of the inner t...
See MoreRatio Control and Scaled Signal Calculations
When and how to use ratio, and how to implement within standard scaled signals
See MoreTime domain - tutorial 7: system properties
In this video, we cover system properties. The concept of memoryless, causal, stable, invertible, time-invariant and linear systems is intuitively explained...
See MoreTutorial on Root Locus
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.
See MoreTime domain - tutorial 10: interconnection of LTI systems
In this video, we learn how to connect LTI systems to make a bigger system. The learning objectives are to:1) get familiar with parallel and series intercon...
See MoreLecture 6: Signal Flow Graphs and Mason's Gain Rule
TikZ source Code: Two systems in negative feedback
TikZ source Code: Two systems in negative feedback
See MoreFeedback Control and Block Diagram Introduction
How do engineers begin to design controllers to respond to disturbances and maintain set points? In this example, I'll discuss how we can design a controller...
See MoreControllability and the PBH Test [Control Bootcamp]
This video describes the PBH test for controllability and describes some of the implications for good choices of "B".
See MoreRandomized Singular Value Decomposition (SVD)
This video describes how to use recent techniques in randomized linear algebra to efficiently compute the singular value decomposition (SVD) for extremely large matrices.
See MoreTikZ source Code: Sliding Mode Control Example System 2
TikZ source Code: Sliding Mode Control Example System 2
See MoreFrequency domain – tutorial 10: modulation
In this video, we learn about modulation technique which is commonly used in communication systems to send information from transmitter to receiver. The foll...
See MoreInternal Model Control IMC Introduction
Internal Model Control IMC Introduction
See MoreData-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...
See MoreSVD: Eigenfaces 3 [Matlab]
This video describes how the singular value decomposition (SVD) can be used to efficiently represent human faces, in the so-called "eigenfaces" (Matlab code, part 3).
See MoreStanford CS234: Reinforcement Learning | Winter 2019 | Lecture 10 - Policy G...
Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group
First Order Dynamics in Process Control
An overview on the identification and behavior of first order dynamics in process control.
See MoreUnderstanding PID Controller
This blog post begins by walking through the basics and the theoretical part of the PID controllers. The controller is then tested, verified, and analyzed using MATLAB.
See MoreNonhomogeneous Linear Ordinary Differential Equations
In the previous video (https://youtu.be/3Kox-3APznI) we examined solving homogeneous linear ordinary differential equations (the forcing function was equal t...
See MoreMachine Learning and Cross-Validation
This lecture discusses the importance of cross-validation to assess models obtained via machine learning.
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