
MATLAB Example: Waveform Analysis Using the Ambiguity Function
This example shows how to use the ambiguity function to analyze waveforms. It compares range and Doppler capabilities of several common pulsed waveforms such as the rectangular waveform, the...
See MoreCascade Control
When and how to use Cascade Control
See MoreNathan Kutz:"Data-driven Discovery of Governing Physical Laws"
Seminar by Dr.Nathan Kutz on "Data-driven Discovery of Governing Physical Laws" on 10/31/2018 CICS Seminar Series
See MoreCS224n: Natural Language Processing with Deep Learning | Winter 2021
This course covers the foundations of the effective modern methods for deep learning applied to NLP, a big picture understanding of human languages and the difficulties in understanding and...
See MoreVectors, Dot Products, Cross Products - 3D Kinematics
Walter Lewin is one of the most reputed professors and was a former lecturer at MIT. His free to watch series on YouTube titled 8.01 is an excellent one for undergrads and high school...
See MoreDirectivity and Antenna Gain - radartutorial.eu
This page describes antenna directivity and gain. The directivity of an antenna is the ratio of the power density S (radiant intensity per unit area) of the real antenna in its main...
See MoreRobotic Car - How to read Gyro Datasheets (Part 2)
Have you ever been lost trying to understand the information in a gyro datasheet? This video should help! In this second part I explain the purpose of a buffer for a MEMS gyro and explain...
See MoreFOPDT Models from Skyline Inputs
The classic textbook method to generate FOPDT models is the reaction curve technique, a pre-computer era technique: Start from a steady state, make a step and hold in the controller output...
See MoreControl Bootcamp: Overview
Overview lecture for bootcamp on optimal and modern control. In this lecture, we discuss the various types of control and the benefits of closed-loop feedback control.
See MoreSystem Identification: Dynamic Mode Decomposition with Control
This lecture provides an overview of dynamic mode decomposition with control (DMDc) for full-state system identification. DMDc is a least-squares regression technique based on the singular...
See MoreOIT System Design Laboratory (Japanese)
A collection of video lectures from OIT SDL.
See MoreWhat is a Matched Filter?
This video explains the Matched Filter from a signals perspective.
See MoreGain Scheduling (Pre-programmed Controller Parameter Adjustment)
Process gain and time-constants change with operating flow rate, tank levels, temperatures, etc. This often requires re-tuning of the controller coefficient values. However, once done...
See MoreNeural Network Overview
This lecture gives an overview of neural networks, which play an important role in machine learning today.
See MoreBasic course of control theory (Hungarian and English)
The basic course of control theory is taught in the 3rd year for the students specialized in information technology at the Faculty of Electrical Engineering and Informatics of the Budapest...
See MoreAutonomous Navigation, Part 6: Metrics for System Assessment
Take a systems engineering approach to verifying the autonomous navigation system end to end and learn how simulations and physical tests can complement each other. The video also covers a...
See MoreAdaptive Control (Part II) —Modeling the X-15’s Adaptive Flight Control Syst...
This blog post shows how to build from scratch a Simulink model of the famous MH-96, the X-15's Adaptive Flight Control System
See MoreLinear Model Identification Basics
This is a curated list of Mathworks products, examples, and topics that cover identifying linear models, selecting suitable model structures, constructing and modifying model object...
See MoreWhat are Polynomial Models?
This Mathworks page provides an overview of polynomial models.
See MoreMATLAB Command: lqr
MATLAB command documentation for the Linear-Quadratic Regulator (lqr) function.
See MoreMath Background for Machine Learning from Carnegie Melon University
This course provides a place for students to practice the necessary mathematical background for further study in machine learning — particularly for taking 10-601 and 10-701. Topics covered...
See MoreIntro to Data Science: Overview
This lecture provides an introductory overview to data science. I will discuss the high-level goals of this lecture series, and how data science is about asking and answering questions with...
See MoreSingular Value Decomposition (SVD): Overview
This video presents an overview of the singular value decomposition (SVD), which is one of the most widely used algorithms for data processing, reduced-order modeling, and high-dimensional...
See MorePrincipal Component Analysis (PCA) 1 [Python]
This video describes how the singular value decomposition (SVD) can be used for principal component analysis (PCA) in Python (part 1).
See MoreGain a better understanding of Root Locus Plots using Matlab
In this video I go through various ways to use Matlab to plot and visualize the root locus.
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