Control Systems in Practice, Part 10: Nichols Chart, Nyquist Plot, and Bode ...
18 min
Beginner
Video
Theory
Explore three popular methods to visualize the frequency response of a linear time-invariant (LTI) system: the Nichols chart, the Nyquist plot, and the Bode plot. Learn about each method...
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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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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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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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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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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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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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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 PID Control, Part 6: Manual and Automatic Tuning Methods
13 min
Beginner
Video
Theory
The previous video showed three different approaches to developing a mathematical model of your physical system. Now that we have this model, we can use it to tune a PID controller that will...
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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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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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Reinforcement Learning for Engineers, Part 3: Policies and Learning Algorith...
17 min
Beginner
Video
Theory
This video provides an introduction to the algorithms that reside within the agent. We’ll cover why we use neural networks to represent functions and why you may have to set up two neural...
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Understanding Kalman Filters, Part 4: An Optimal State Estimator Algorithm
9 min
Beginner
Video
Theory
Discover the set of equations you need to implement a Kalman filter algorithm. You’ll learn how to perform the prediction and update steps of the Kalman filter algorithm, and you’ll see how...
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System Identification Methods
17 min
Beginner
Video
Theory
System Identification is the process of determining the model or the equations of motion for your system. This is incredibly important because basing a control system design off of a bad...
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The AVA Flight Computer
18 min
Beginner
Video
Application
This video describes the board design, hardware architecture, and software components of the All Vehicle Avionics (AVA) flight computer that was designed by Joe Barnard of BPS Space. This...
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Introduction: PID Controller Design
30 min
Beginner
Article / Blog
Application
In this tutorial we will introduce a simple, yet versatile, feedback compensator structure: the Proportional-Integral-Derivative (PID) controller. The PID controller is widely employed...
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Introduction to Noise Filtering
20 min
Intermediate
Article / Blog
Application
Introduction to filtering - moving average, first-order, anti-aliasing, set point softening
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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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What's a Control System and Why Should I Care? A whirlwind tour through the ...
60 min
Beginner
Article / Blog
Theory
This paper aims to provide some introduction, a cheat sheet, and some context for college level STEM students about to take that first controls class. In some cases, it provides context...
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Autonomous Navigation, Part 4: Path Planning with A* and RRT
18 min
Beginner
Video
Theory
This video explores some of the ways that we can use a map like a binary occupancy grid for motion and path planning. We briefly cover what motion planning means and how we can use a graph...
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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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Understanding Kalman Filters, Part 3: An Optimal State Estimator
7 min
Beginner
Video
Theory
Watch this video for an explanation of how Kalman filters work. Kalman filters combine two sources of information, the predicted states and noisy measurements, to produce optimal, unbiased...
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The Radar Equation | Understanding Radar Principles
Beginner
Video
Theory
Learn how the radar equation combines several of the main parameters of a radar system in a way that gives you a general understanding of how the system will perform. The radar equation is a...
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TinyEKF: Lightweight C/C++ Extended Kalman Filter with Python for prototypin...
Intermediate
Software
Application
TinyEKF is a simple C/C++ implementation of the Extended Kalman Filter that is general enough to use on different projects. In order to make it practical for running on Arduino, STM32, and...
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