Fuzzy Logic, Part 3: Design and Applications of a Fuzzy Logic Controller

This video walks you through the process of designing a fuzzy inference system that can balance a pole on a cart. You can design a fuzzy logic controller using just experience and intuition...

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Lecture 9: Time response and Time domain specifications

In this lecture, Time response is discussed in detail. Also discussed are different time domain specifications See More

Using a Homogeneous Transformation Matrix to Combine Rotation and Translatio...

In this video we discuss how to properly deal with coordinate frames that are both rotated and translated from one another. We develop a homogeneous transformation matrix which combines a...

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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

Coriolis Effect Demonstration (with Drones)

We demonstrate how rotating reference frames give rise to the Coriolis effect and centrifugal acceleration. In this video, we approach this as a simple physics demonstration and examine...

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Sketching Root Locus Part 1

Sketching a root locus by hand can be done by following some simple rules. However, more important than actually being able to sketch to plot is being able to use our knowledge to design...

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PID Control with Posicast 7 - ( In English )

In this video closed-loop configurations with PID controllers and Posicast are introduced.

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Control Bootcamp: Full-State Estimation

This video describes full-state estimation. An estimator dynamical system is constructed, and it is shown that the estimate converges to the true state. Further, the eigenvalues of the...

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Practical Implementation Issues with a Full State Feedback Controller

In this video we investigate practical implementation issues that may arise when attempting to use a full state feedback controller on a real system. We ill...

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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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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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Controllability [Control Bootcamp]

This lecture explores when a linear system is controllable. We begin with the simple test in terms of the rank of the controllability matrix on a few intuitive examples.

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Time 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...

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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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Data-Driven Control: Balanced Truncation Example

In this lecture, we explore the balanced truncation procedure on an example in Matlab. In particular, we demonstrate the ability of a balancing transformation to make the controllability...

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Time 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...

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Linear Regression 1 [Python]

This video describes how the singular value decomposition (SVD) can be used for linear regression in Python (part 1).

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Digital Twins

This lecture discusses the use of data-driven digital twins in advanced model-based design and engineering, and the related digital thread, which ties together the data throughout an entire...

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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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Closed Loop Feedback Control

Intro to closed loop (feedback) control motivation, theory, block diagrams and block diagram algebra, and PID controllers

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Peter Ponders PID. Second Order Plus Dead Time , SOPDT, Temperature Control,...

In this video I derive the equations for the controller gains and a low pass filter for a SOPDT system with a very long dead time To make the simulation mo...

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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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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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Bode Plot Gain and Phase Margin Determination

I'll show you how we can determine the Gain and Phase Margin from a Bode Plot (at some fixed controller gain).

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Peter Ponders PID - Tank Level Control

How to control the level in tank 2 that is being feed by tank 1 that is also feed by a pump. The video shows how to compensate for non-linearities using dif... See More