Inputs and Outputs as defined by a Process Control Engineer

Defining process inputs and outputs is a lot more complicated than I initially thought when I was learning about process control. In this video, I share how ...

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TikZ source Code: RL Series

TikZ source Code for RL Series.

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Lecture 22: Frequency domain specifications for Second order system

In this session, frequency domain specifications for a prototype second order system has been derived. See More

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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IMC PID Design with Dead Time

IMC PID Design with Dead Time

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TikZ source Code: matlab2tikz example

TikZ source Code: matlab2tikz example

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Lecture 30: Canonical Forms

In this video, phase variable canonical form or Controllable Canonical form as well as Observable Canonical form of state space representation is explained See More

RL Course by David Silver - Lecture 4: Model-Free Prediction

An introduction to Monte-Carlo Learning and Temporal Difference Learning

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Humans, Robots, and Non-Prehensile Manipulation

This is a fun video that was inspired by a presentation I saw at the 2015 International Conference on Robotics and Automation (ICRA). I wanted to see if humans could duplicate the...

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Control Bootcamp: Example Frequency Response (Bode Plot) for Spring-Mass-Da...

This video shows how to compute and interpret the Bode plot for a simple spring-mass-damper system.

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Designing a Lead Compensator with Root Locus

This video walks through a phase lead compensator example using the Root Locus method.

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Control Bootcamp: Sensitivity and Complementary Sensitivity

Here we explore the sensitivity and complementary sensitivity functions, which are critical in understanding robustness and performance.

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Building a Matlab/Simulink Model of an Aircraft: the Research Civil Aircraft...

In this video we implement the RCAM model as a Matlab script that is called from a Simulink model. The result is a fully encapsulated Simulink model of a no...

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SVD and Alignment: A Cautionary Tale

This video describes the importance of data alignment when performing the singular value decomposition (SVD). Translations and rotations both present challenges for the SVD.

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Identifying Dominant Balance Physics from Data - Jared Callaham

This video illustrates a new algorithm to identify local dominant physical balance relations from multiscale spatiotemporal data.

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Introduction to Full State Feedback Control

In this video we introduce the concept of a full state feedback controller. We discuss how to use this system to place the eigenvalues of the closed loop sys...

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Data-Driven Control: Error Bounds for Balanced Truncation

In this lecture, we derive error bounds for the balanced truncation.

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SVD: Optimal Truncation [Python]

This video describes how to optimally truncate the singular value decomposition (SVD) for noisy data (Python code).

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Final 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...

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Introduction to Deep Learning by Andrew NG [COMPLETE]

Andrew Ng's course on deep learning and neural networks.

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Control Systems Lectures - LTI Systems

This lecture describes what it means when we say a system is linear and time invariant. I also try to give an example as to why these systems are so important when designing control systems...

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Heat 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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Denoising Data with FFT [Matlab]

This video describes how to clean data with the Fast Fourier Transform (FFT) in Matlab.

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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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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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