
Auto Tuning a Small DC Motor in Torque Mode
I was really testing the picture in picture feature of the Screen Flow software I use to make these videos. I knew the auto tuning would work. I kept the v...
See MoreTime domain - tutorial 5: signal properties
In this video, we learn about some special signals which are symmetric around the y-axis (even) or around the origin (odd) . Then we talk about periodic sign...
See MoreFourier Series: Part 2
This video will show how to approximate a function with a Fourier series, which is an infinite sum of sines and cosines. We will discuss how these sines and cosines form a basis for the...
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 MoreKoopman Spectral Analysis (Multiscale systems)
In this video, we discuss recent applications of data-driven Koopman theory to multi-scale systems.
See MoreRouth 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...
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 MoreStanford CS234: Reinforcement Learning | Winter 2019 | Lecture 15 - Batch Re...
Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group
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).
See MorePID Control with Posicast Control 8 - ( In English )
This is the follow up of PID Control with Posicast ( Part II )
See MoreControl Bootcamp: Three Equivalent Representations of Linear Systems
This video explores three equivalent representations of linear systems: State-space ODEs, Frequency domain transfer functions, and Time-domain impulse response convolution.
See MoreNeural Networks: Caveats
This lecture discusses some key limitations of neural networks and suggests avenues of ongoing development.
See MoreAutomatic Updates of Transition Potential Matrices in Dempster-Shafer Networ...
Journal article that develops an evidential reasoning network capable of learning/updating the relationships between Frames of Discernment (the sets over which Dempster-Shafer reasons that...
See MoreRelative 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...
See MoreHomogeneous Linear Ordinary Differential Equations
In this video we discuss how to solve homogeneous linear ordinary differential equations (ODEs). The approach outlined in this lecture is applicable to high...
See MoreBode Plots by Hand: Real Constants
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 simple transfer function; a real constant.
See MoreGimbal 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...
See MoreThe Inverse Laplace Transform
In this video we show how to perform the inverse Laplace transform on a signal in the Laplace domain to obtain its equivalent representation in the time doma...
See MoreUnderstanding Sensor Fusion and Tracking, Part 3: Fusing a GPS and IMU to Es...
This video continues our discussion on using sensor fusion for positioning and localization by showing how we can use a GPS and an IMU to estimate and object’s orientation and position. We...
See MoreDigital Twin Parameter Tuning
Learn how to tune the digital twin model of a pump system to its physical asset using Simulink Design Optimization™. You can use measured data collected from the physical system to tune the...
See MoreFinal Value Theorem
In this video we discuss the Final Value Theorem. Given a signal in the Laplace domain, this allows us to predict the steady state value of the signal in th...
See MoreData-Driven Control: Observer Kalman Filter Identification
In this lecture, we introduce the observer Kalman filter identification (OKID) algorithm. OKID takes natural input--output data from a system and estimates the impulse response, for later...
See MoreEuler 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 MorePeter Ponders PID - IAE,ITAE,ISE Performance indicators
Performance indicators can be used to compute closed loop pole locations. Only one gain parameter is required to move the pole locations closer to the origi...
See MoreHeat Transfer Demonstration
In this video we demonstrate heat transfer through a metal bar. By heating one side of the bar we can impose a non-uniform temperature distribution across t...
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