Time domain - tutorial 2: signal representation

In this video, we review how to represent information as a signal. The information can be anything such as voice (1D) or an image (2D) or even a video (3D). ...

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Cascade Control Intro

How can we improve the disturbance rejection of our controllers using additional, relevant measurements? Tune in to find out!

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Posicast Control 5 - (In English)

In this video Posicast in closed-loop is illustrated using a gantry-crane system simulations.

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Lecture 28: Lag Compensator Design using Bode Plots

This video explains how a lag compensator can be designed using Bode plots. A numerical example has also been taken up. See More

Peter 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...

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Dynamic Modeling in Process Control

I'll show you how we can build the dynamic models necessary to derive process transfer functions as an introduction to process control.

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Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 1 - Introduct...

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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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...

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Deploying Deep Learning Models | Deep Learning for Engineers, Part 5

This video covers the additional work and considerations you need to think about once you have a deep neural network that can classify your data. We need to consider that the trained network...

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RL Course by David Silver - Lecture 7: Policy Gradient Methods

Looks at different policy gradients, including Finite Difference, Monte-Carlo and Actor Critic.

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Introduction to System Stability and Control

This video attempts to provide an intuitive understanding of concepts like stability and stability margin. I briefly describe both of these topics with examples and explain how you can...

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Koopman Spectral Analysis (Overview)

In this video, we introduce Koopman operator theory for dynamical systems. The Koopman operator was introduced in 1931, but has experienced renewed interest recently because of the...

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Routh-Hurwitz Criterion, An Introduction

This video gives an introduction into the Routh-Hurwitz Criterion and the Routh Array. I also present a little background information in order to emphasize why the method was developed and...

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TikZ source Code: Feedback passivity index

TikZ source Code: Feedback passivity index

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Constraint Enforcement for Improved Safety | Learning-Based Control

Learn about the constraints of your system. Then see a how to enforce those constraints so the system does not violate them. Constraint enforcement is important for safety-critical...

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Controllability, Reachability, and Eigenvalue Placement [Control Bootcamp]

This lecture explains the equivalence of controllability, reachability, and the ability to arbitrarily place eigenvalues of the closed loop system.

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Singular Value Decomposition (SVD): Matrix Approximation

This video describes how the singular value decomposition (SVD) can be used for matrix approximation.

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Tuning a Fuzzy Logic Controller with Data | Fuzzy Logic, Part 4

This video covers the basics of data-driven approaches to tuning fuzzy inference systems. See what it means to find an optimal solution, which fuzzy inference parameters are being tuned...

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TikZ source Code: Sliding Mode Control Example System 2

TikZ source Code: Sliding Mode Control Example System 2

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Data-Driven Control: ERA and the Discrete-Time Impulse Response

In this lecture, we describe how the discrete-time impulse response is used in the eigensystem realization algorithm (ERA).

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SVD: Importance of Alignment [Python]

This video describes the importance of aligning data when using the singular value decomposition (SVD) (Python code).

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Velocity & Acceleration in Non-Inertial Reference Frames (Coriolis &...

In this video we derive a mathematical description of velocity and acceleration in non-inertial reference frame. We examine the effect of fictitious forces ...

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Linear Regression 3 [Python]

This video describes how the singular value decomposition (SVD) can be used for linear regression in Python (part 3).

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Simple Vector Mechanics: Inner Product, Scalar/Vector Projection, and Cross ...

In this video we discuss several simple vector operations such as: 1. Computing the magnitude of a vector 2. The inner/dot product 3. The scalar and vector projection 4. The cross product

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Control Bootcamp: Benefits of Feedback on Cruise Control Example (Part 2)

Here we investigate the benefits of feedback for systems with uncertain dynamics and disturbances, as illustrated on a cruise control example. (Part 2)

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