
Model Reference Adaptive Control Fundamentals (Dr. Tansel Yucelen)
Forum on Robotics & Control Engineering (FoRCE, http://force.eng.usf.edu/) Seminar Series: "Model Reference Adaptive Control Fundamentals" (Dr. Tansel Yucelen)
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 MoreImprove 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 MoreUnderstanding Sensor Fusion and Tracking, Part 6: What Is Track-Level Fusion...
Gain insights into track-level fusion, the types of tracking situations that require it, and some of the challenges associated with it.
You’ll see two different tracking architectures—track...
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 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 MoreIntroduction to the A* Algorithm
An interactive visual explanation of the A* algorithm using motivating examples from computer games.
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What is a Matched Filter?
This video explains the Matched Filter from a signals perspective.
See MoreVideo Lectures on Automatic Control
A collection of 32 video lectures on automatic control by Dr. Rajesh Joseph Abraham.
See MoreRegulatory PID (Polish)
W tym odcinku, opisze wam podstawy działania regulatorów PID.
See MoreRobotic Car - How to read Gyro Datasheets (Part 1)
Have you ever been lost trying to understand the information in a gyro datasheet? This video should help! In this first part I go through the mechanical characteristics of a MEMS gyro and...
See MoreControl Bootcamp: LQG Example in Matlab
This video combines the LQR and Kalman filter in Matlab on the example of an inverted pendulum on a cart. We stabilize the full nonlinear system with a measurement of a single variable (the...
See MoreFirst-Order Filters
Use data filters to temper noise - relation of options to lag and variance reduction
See MoreAutonomous Navigation, Part 3: Understanding SLAM Using Pose Graph Optimizat...
This video provides some intuition around Pose Graph Optimization—a popular framework for solving the simultaneous localization and mapping (SLAM) problem in autonomous navigation.
We’ll...
See MoreIntro to Data Science: Historical Context
This lecture provides some historical context for data science and data-intensive scientific inquiry.
See MoreAn Artificial Intelligence Primer
This blog post is a great primer providing definitions for basic terms used in AI and machine learning (ML) such as supervised learning, unsupervised learning, and transfer learning...
See MoreUnderstanding Control Systems (Playlist)
Learn the basic concepts behind controls systems. Walk through everyday examples that outline fundamental ideas, and explore open-loop and feedback control systems. These videos explore open...
See MoreInverted Pendulum on a Cart [Control Bootcamp]
In this video, we introduce an example system to control: an inverted pendulum on a cart. We describe the state-space, find the fixed points, and simulate the system in Matlab. Because the...
See MorePole Placement for the Inverted Pendulum on a Cart [Control Bootcamp]
Here we use the 'place' command in Matlab to design full-state feedback gains to specify the eigenvalues of the closed-loop system. This is demonstrated on the inverted pendulum on a cart.
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 MoreControl Bootcamp: Limitations on Robustness
This video describes some of the fundamental limitations of robustness, including time delays and right-half plane zeros.
See MoreMATLAB Discovery Page - Visual Inspection
Visual inspection is the image-based inspection of parts where a camera scans the part under test for both failures and quality defects. Automated inspection and defect detection are...
See MoreSystems Engineering, Part 5: Some Benefits of Model-Based Systems Engineerin...
Learn how model-based systems engineering (MBSE) can help you cut through the chaos of early systems development and get you from definition to execution more seamlessly.
You’ll hear the...
See MoreThe Radar Range Equation - radartutorial.eu
This article describes the radar range equation. The radar range equation represents the physical dependences of the transmit power, which is the wave propagation up to the receiving of the...
See MoreData-Driven Control: Overview
Overview lecture for series on data-driven control. In this lecture, we discuss how machine learning optimization can be used to discover models and effective controllers directly from data...
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