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Robust Control, Part 2: Understanding Disk Margin
14 min
Beginner
Video
Theory
As we discussed in the last video, mathematical models aren’t a perfect representation of real systems. Therefore, we want to make sure that any system that is designed with those models is...
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Robust Control, Part 5: H Infinity and Mu Synthesis
14 min
Beginner
Video
Theory
This video walks through a controller design for an active suspension system. Actually, we design two controllers. For the first, we use H infinity synthesis to design a controller for a...
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An Introduction to the Kalman Filter
45 min
Beginner
Article / Blog
Theory
The purpose of this paper is to provide a practical introduction to the discrete Kalman filter. This introduction includes a description and some discussion of the basic discrete Kalman...
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An introduction to Beamforming
14 min
Beginner
Video
Theory
This video talks about how we actually have more control over the shape of the beam than just adding additional elements, or adjusting the position and orientation of the elements. We can...
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Understanding Sensor Fusion and Tracking, Part 1: What Is Sensor Fusion?
12 min
Beginner
Video
Theory
This video provides an overview of what sensor fusion is and how it helps in the design of autonomous systems. It also covers a few scenarios that illustrate the various ways that sensor...
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Radar Tutorial (English)
Beginner
Article / Blog
Theory
This page provides a detailed overview of radar principles and technologies, including mathematical, physical and technical explanations. “Radartutorial” explains the fundamentals of radar...
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Stanford Engineering Everywhere: CS223A - Introduction to Robotics
Beginner
Course
Theory
The purpose of this course is to introduce you to basics of modeling, design, planning, and control of robot systems. In essence, the material treated in this course is a brief survey of...
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Autonomous Navigation, Part 2: Understanding the Particle Filter
16 min
Beginner
Video
Theory
This video presents a high-level understanding of the particle filter and shows how it can be used in Monte Carlo localization to determine the pose of a mobile robot inside a building. We...
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Free Video Course in Radar Systems Engineering
Beginner
Course
Theory
This Free Radar Systems Engineering Course (video, audio and screen captured ppt slides) and separate pdf slides) has been developed as a first course in Radar Systems for first year...
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Reinforcement Learning for Engineers, Part 4: The Walking Robot Problem
14 min
Beginner
Video
Theory
This video shows how to use the reinforcement learning workflow to get a bipedal robot to walk. It also looks at how to modify the default example to make it look more like how one would set...
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Understanding Kalman Filters, Part 2: State Observers
8 min
Beginner
Video
Theory
Learn the working principles of state observers, and discover the math behind them. State observers are used for estimating the internal states of a system when you can’t directly measure...
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Introducing Feedback Control to Middle and High School STEM Students, Part 2...
60 min
Intermediate
Article / Blog
Demonstration
This paper was presented at the 2019 IFAC Advances on Control Education Conference (IFAC-ACE), Philadelphia, PA, USA, July 7-9, 2019, and is in the conference proceedings. This paper aims at...
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FMCW Radar for Autonomous Vehicles | Understanding Radar Principles
18 min
Beginner
Video
Theory
Watch an introduction to Frequency Modulated Continuous Wave (FMCW) radar and why it’s a good solution for autonomous vehicle applications. This demonstration will show how FMCW radar can...
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Using the Control System Designer in Matlab
53 min
Beginner
Video
Theory
In this video we show how to use the Control System Designer to quickly and effectively design control systems for a linear system. We show how to add multi...
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An Introduction to Multi-Agent Reinforcement Learning
Beginner
Video
Theory
Learn what multi-agent reinforcement learning is and some of the challenges it faces and overcomes. You will also learn what an agent is and how multi-agent systems can be both cooperative...
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Reinforcement Learning for Engineers, Part 2: Understanding the Environment ...
13 min
Beginner
Video
Theory
In this video, we build on our basic understanding of reinforcement learning by exploring the workflow. We cover what an environment is and some of the benefits of training within a...
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Interactive Tool for PID understanding
Intermediate
App
Application
The module PID Basics is designed to explore the properties of a simple feedback loop by showing the time and frequency responses of a closed-loop system and demonstrating how these...
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Control Systems in Practice, Part 7: 4 Ways to Implement a Transfer Function...
18 min
Beginner
Video
Theory
In some situations, it is easier to design a controller or a filter using continuous, s-domain transfer functions. We have a lot of mathematical tools that make analyzing and manipulating...
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Understanding PID Control, Part 4: A PID Tuning Guide
12 min
Beginner
Video
Theory
It can be difficult to navigate all the resources that promise to explain the secrets of PID tuning. Some proclaim that PID tuning is an art that requires finesse and experience, while...
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Advances in feedforward control for measurable disturbances
35 min
Intermediate
Video
Theory
The efficient compensation of load disturbances is one of the most important tasks in any control system. Most industrial processes are affected by disturbances and only feedback is commonly...
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Introducing Feedback Control to Middle and High School STEM Students, Part 1...
60 min
Intermediate
Article / Blog
Demonstration
This paper was presented at the 2019 IFAC Advances on Control Education Conference (IFAC-ACE), Philadelphia, PA, USA, July 7-9, 2019, and is in the conference proceedings. This paper aims at...
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Control Systems in Practice, Part 9: The Step Response
15 min
Beginner
Video
Theory
This video covers a few interesting things about the step response. We’ll look at what a step response is and some of the ways it can be used to specify design requirements for closed loop...
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Kalman Filter Virtual Lab
Intermediate
Virtual Lab
Application
The Kalman Filter virtual laboratory contains interactive exercises that let you study linear and extended Kalman filter design for state estimation of a simple pendulum system. The virtual...
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ITCLI: An Interactive Tool for Closed-Loop Identification
Intermediate
App
Application
The Interactive Tool for Closed-Loop Identification (ITCLI) is an interactive software tool for understanding SISO closed-loop identification using prediction-error techniques. The tool...
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Modeling Physical Systems, An Overview
7 min
Beginner
Video
Theory
This video sets the stage for the topics that I want to cover over the next month or two. This is an overview of how you go from a physical system to a linear model where you can design a...
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