
Lecture 23: Bode plots
Frequency 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 MoreControl Bootcamp: Sensitivity and Complementary Sensitivity
Here we explore the sensitivity and complementary sensitivity functions, which are critical in understanding robustness and performance.
See MoreBode Plots of Complex Transfer Functions
In this video we discuss how to generate a bode plot of a complex transfer function by decomposing it into the individual components. We then show how one c...
See MoreStanford CS234: Reinforcement Learning | Winter 2019 | Lecture 7 - Imitation...
Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group
See MoreRL Course by David Silver - Lecture 3: Planning by Dynamic Programming
Introduces policy evaluation and iteration, value iteration, extensions to dynamic programming and contraction mapping.
See MoreKoopman Spectral Analysis (Representations)
In this video, we explore how to obtain finite-dimensional representations of the Koopman operator from data, using regression.
See MoreIntroduction to Deep Learning by Andrew NG [COMPLETE]
Andrew Ng's course on deep learning and neural networks.
See MoreSingular Value Decomposition (SVD): Dominant Correlations
This lectures discusses how the SVD captures dominant correlations in a matrix of data.
See MoreControl 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...
See MoreDynamic Behavior and Input Types in Process Control
An introduction to the four types of dynamic behavior and five types of inputs (step, ramp, pulse, impulse, and sinusoidal), and why transfer functions are u...
See MorePeter Ponders PID - Simulation Methods, Which is Best?
Machine Learning Overview
This lecture provides an overview of machine learning, and how it fits into this introductory video sequence on data science. We discuss how machine learning involves "modeling with data".
See MoreIntro to Process Control
I discuss the motivation and introduce the logic behind controllers that engineers design to respond to errors in outputs (deviations from set points). P and...
See MorePeter Ponders PID - System Identification Basics
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.
See MoreVector Derivatives (the Equation of Coriolis) and the Angular Velocity Vecto...
In this video we develop the Equation of Coriolis which describes how a vector in a rotating reference frame changes from the perspective of an observer in a non-rotating reference frame. We...
See MoreNeural Networks and Deep Learning
This lecture explores the recent explosion of interest in neural networks and deep learning in the context of 1) vast and increasing data sets, and 2) rapidly improving computational...
See MoreRouth Array and Stability
I show how we can find the range of allowed controller gains for a system that will allow us to maintain stability using a Routh Array.
See MoreLecture 9: Time response and Time domain specifications
Frequency domain – tutorial 13: sampling (theory of everything in signal pro...
In this video, we learn about sampling which enables us to travel from analog to digital world. The following materials are covered:1) why traveling to the ...
See MoreNonhomogeneous Linear Ordinary Differential Equations
In the previous video (https://youtu.be/3Kox-3APznI) we examined solving homogeneous linear ordinary differential equations (the forcing function was equal t...
See MoreTUTORIAL on Stability and Routh Hurwitz criterion
Time domain - tutorial 9: convolution examples
In this video, we use a systematic approach to solve lots of examples on convolution. By the end of this lecture, you should be able to find convolution betw...
See MorePartial Fraction Expansion/Decomposition
In this video we discuss how to perform partial fraction expansion (PFE) to rewrite a ratio of polynomials as simpler expressions. Topics and time stamps:(0...
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