
Machine Learning Course by Andrew Ng
A very comprehensive and detailed course in machine learning , best suited for beginners with knowledge of high school linear mathematics.
See MoreNeural Networks: Caveats
This lecture discusses some key limitations of neural networks and suggests avenues of ongoing development.
See MoreDirect Synthesis for PID Controller Design
What tuning parameters should you choose for your controller? The Direct Synthesis Model is one method control engineers use today to evaluate controller par...
See MoreCourse Introduction (Signal Processing 101)
Learn Signal Processing 101 in 31 lectures covering time, frequency and Laplace domain in about 8 hours all together:https://www.youtube.com/watch?v=KZd68xga...
See MoreFirst Order Dynamics in Process Control
An overview on the identification and behavior of first order dynamics in process control.
See MoreFrequency 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 MoreControllability [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.
See MoreNumerically Linearizing a Dynamic System
In this video we show how to linearize a dynamic system using numerical techniques. In other words, the linearization process does not require an analytical...
See MorePeter Ponders PID - Cascade Control Part1
I cover whether cascade control is necessary. Why there needs to be a feed back for every loop. How to calculate gains. Bode plots and ratio of the inner t...
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...
See MoreUnderstanding Sensor Fusion and Tracking, Part 4: Tracking a Single Object W...
This video describes how we can improve tracking a single object by estimating state with an interacting multiple model filter. We will build up some intuition about the IMM filter and show...
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 MoreTikZ source Code: Interconnected MIMO Subsystems
TikZ source Code: Interconnected MIMO Subsystems with different input and output dimensions
See MoreIntroduction to the Fourier Transform (Part 2)
This video is the second part of the introduction to the Fourier Transform. I address an error that I made in the first video concerning the scaling term of the transform. I also try to...
See MoreThe Laplace Transform - A Graphical Approach
A lot of books cover how to perform a Laplace Transform to solve differential equations. This video tries to show graphically what the Laplace Transform is doing and why figuring out the...
See MoreLecture 13: Stability and Routh Hurwitz criterion
SVD: Image Compression [Python]
This video describes how to use the singular value decomposition (SVD) for image compression in Python.
See MoreFinal 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...
See MoreLecture 15: Root Locus
Feedback Control and Block Diagram Introduction
How do engineers begin to design controllers to respond to disturbances and maintain set points? In this example, I'll discuss how we can design a controller...
See MoreHeat 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...
See MoreInternal Model Control IMC Introduction
Internal Model Control IMC Introduction
See MoreTime domain - tutorial 5: signal properties
In this video, we learn about some special signals which are symmetric around the y-axis (even) or around the origin (odd) . Then we talk about periodic sign...
See MoreNASA's General Mission Analysis Tool (GMAT)
NASA's GMAT is the worlds only enterprise, multi-mission, open source software system for space mission design, optimization, and navigation. The system supports missions in flight regimes...
See MoreMachine Learning - Andrew Ng, Stanford University
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech...
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