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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Deriving Percent Overshoot, Settling Time, and Other Performance Metrics

In this video we examine a second order dynamic system and derive how various performance metrics (such as time to first peak, magnitude at first peak, perce...

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Moving Average Filter - Theory and Software Implementation

Moving average filter theory (time domain, frequency domain, Z-transform, FIR, etc..) and software implementation on a real-time embedded system using an STM32 microcontroller and a...

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Data-Driven Control: BPOD and Output Projection

In this lecture, we introduce the output projection for balancing proper orthogonal decomposition (BPOD), to reduce the number of adjoint simulations required when the number of measurements...

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SVD: Optimal Truncation [Matlab]

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

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Frequency domain – tutorial 8: frequency spectra

In this video, we learn about frequency spectra which can be divided into two parts: phase and magnitude spectrum. Some examples will be provided to practice...

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Apollo's Flight Computer: Epitome of Engineering

The Apollo missions' success can be vastly accredited to the success of building a robust, one-of-a-kind flight computer for its guidance, navigation and control. Follow this video to...

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Control 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.

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Bode Stability Criterion in Frequency Response Analysis Intro

The Bode stability criterion allows us to quickly determine the stability and relative stability of a transfer function. It uses a graphical method that can ...

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Frequency domain – tutorial 11: equalization

In this video, we learn about equalization technique which is used in communication systems to compensate for the destructive effect of the channel between t...

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Peter Ponders PID, Natural Frequency vs Frequency of Acceleration

This video is intended for servo hydraulic system designers and those that program hydraulic servo systems but it does show how several of the techniques sho...

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Extremum Seeking Control in Simulink

This lecture explores extremum-seeking control (ESC) on a simple example in Matlab’s Simulink.

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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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Control Systems Lectures - Closed Loop Control

This lecture discusses the differences between open loop and closed loop control.

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Second Order Dynamics

A crash course overview on second order dynamics in the frequency domain, what the key parameters are, and why they matter.

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Stanford 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

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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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Parseval's Theorem

Parseval's theorem is an important result in Fourier analysis that can be used to put guarantees on the accuracy of signal approximation in the Fourier domain.

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Lecture 13: Stability and Routh Hurwitz criterion

In this video, stability of LTI systems has been discussed. BIBO stability has also been explained. Further, Routh Hurwitz criterion is also explained See More

Trimming a Model of a Dynamic System Using Numerical Optimization

In this video we show how to find a trim point of a dynamic system using numerical optimization techniques. We generate a cost function that corresponds to ...

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Lecture 27: Lead Compensator Design using Bode plots

In this video lecture, design of a lead compensator using Bode plots is discussed. A numerical example has also been taken up See More

The Laplace Transform

In this video we show how to perform the Laplace transform on a signal in the time domain to obtain its equivalent representation in the Laplace domain. Top...

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Lecture 32: Linearisation and State Space Fundamentals

This video introduces State Space techniques. Also covered is, Linearisation See More

Control Bootcamp: Sensitivity and Robustness

Here we show that peaks in the sensitivity function result in a lack of robustness.

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Introduction to Bode Plots

In this video we introduce the concept of Bode plots including what they represent, how they are generated, as well as how to use Matlab tools to work with B...

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