
Mathworks Model Reference Adaptive Control Overview
This website provides an overview of the mathematics behind Model Reference Adaptive Control (MRAC). MRAC is a model-based, real-time adaptive control algorithm that computes control actions...
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 MoreRobust Control, Part 3: Disk Margins for MIMO Systems
This video shows how margin can be used to assess the robustness of multi-input, multi-output systems. We’ll show how disk margin is a more complete way to represent margin for MIMO systems...
See MoreSo You Want to be a Systems Engineer
A presentation by Gentry Lee on what qualities and characteristics make a great systems engineer. At the time of the presentation, Gentry Lee was the Chief Engineer for the Solar System...
See MoreKalman and Bayesian Filters in Python
Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Juptyer Notebook so that you can run and modify the code in your...
See MoreMATLAB Discovery Page - Anomaly Detection
Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning...
See MoreFeedback Systems: An Introduction for Scientists and Engineers
This is the wiki for the text Feedback Systems (second edition) by Karl J. Åström and Richard M. Murray. On this resource you will find the complete text of the book as well as additional...
See MoreNeural Network Overview
This lecture gives an overview of neural networks, which play an important role in machine learning today.
See MoreControl Systems in Practice, Part 5: A Better Way to Think About a Notch Fil...
This video describes an intuitive way to approach notch filter design by thinking about the problem as an inverted, lightly damped, second-order low-pass filter. Then, two additional poles...
See MoreControl Design Onramp with Simulink
Learn the basics of feedback control design in Simulink®. Adjust the gains of a PID controller to change the dynamics of a physical system and get the closed-loop system behavior that you...
See MoreStudent's Guide to Bayesian Statistics
This video provides a summary of a textbook Bed Lambert wrote on Bayesian inference and accompanying (freely available) YouTube course.
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 MoreControl Systems in Practice, Part 1: What Control Systems Engineers Do
This video walks through the phases of a typical project and describes what it means to be a control systems engineer. It covers the concept formulation phase, in which your job is to help...
See MoreThe Braitenberg Vehicles
This video explores the world of simple logical robots as described by Valentino Braitenberg in his book Vehicles, Experiments in Synthetic Psychology. With very simple linkages between...
See MoreRobust Control, Part 4: Working with Parameter Uncertainty
The previous two videos showed a few different ways to quantify how robust a system is to model and plant uncertainty by looking at how much input and output variation it can handle before...
See MoreSprint - Test Flight 8 and Data Review
This video is part of a series that details the design, build, and test of Sprint - a thrust vector controlled model rocket by Joe Barnard of BPS Space.
See MoreWhat Is a Control System and Why Should I Care?
This is a 25 minute abbreviated version of the Part 1 & Part 2 talk. It goes through the basic ideas while skipping some of the details and examples of the longer talks. The talk abstract...
See MoreLinearizing Around a Fixed Point [Control Bootcamp]
This lecture describes how to obtain linear system of equations for a nonlinear system by linearizing about a fixed point. This is worked out for the simple pendulum "by-hand" and in...
See MorePathfinding with A*
An interactive visual explanation of the A* pathfinding algorithm. This resource uses motivating examples from computer games.
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Improve SNR and Capacity of Wireless Communication Using Antenna Arrays
The goal of a wireless communication system is to serve as many users with the highest possible data rate given constraints such as radiation power limit and operating budget. To improve the...
See MoreProcess Dynamics and Control Course
This course focuses on a complete start to finish process of physics-based modeling, data driven methods, and controller design. Although some knowledge of computer programming is required...
See MoreUsing Transfer Learning | Deep Learning for Engineers, Part 4
This video introduces the idea of transfer learning. Transfer learning is modifying an existing deep network architecture and then retraining it to accomplish your task rather than the task...
See MoreLectures on Modelling and Control of Dynamic Systems (French)
Lectures on Modelling and Control of Dynamic Systems from Patrick Lanusse of Bordeaux INP, France.
See MoreNonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields...
From the reviews: "This book is concerned with the application of methods from dynamical systems and bifurcation theories to the study of nonlinear oscillations. Chapter 1 provides a review...
See MoreUsing ‘fminsearch’ to Minimize a Function Specified by a File with Extra Par...
In this video we show 4 different ways to use/call Matlab’s ‘fminsearch’ function to perform unconstrained optimization.Topics and timestamps:0:00 – Introduc...
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