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Understanding PID Control, Part 7: Important PID Concepts
12 min
Beginner
Video
Theory
Now that you ’ve gotten an overview of PID tuning techniques, this video moves on to discussing two important concepts in PID control: cascaded loops and discrete systems. Both concepts are...
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Linear System Identification | System Identification, Part 2
18 min
Beginner
Video
Theory
Learn how to use system identification to fit and validate a linear model to data that has been corrupted by noise and external disturbances Noise and disturbances can make it difficult to...
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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 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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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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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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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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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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Z-Transform - Practical Applications
26 min
Intermediate
Video
Application
Covering practical applications of the Z-transform used in digital signal processing, for example, stability analysis and frequency response of discrete-time systems. Theory, C code, and...
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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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What Are Dynamic Models? Chapter 1 from Dynamic Models in Biology
Beginner
Book
Theory
Throughout this book we use a wide-ranging set of case studies to illustrate different aspects of models and modeling. In this introductory chapter we describe and give examples of different...
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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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Kalman Filter Design
30 min
Intermediate
Article / Blog
Application
This example shows how to perform Kalman filtering. Both a steady state filter and a time varying filter are designed and simulated.
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System Identification Overview
Beginner
Article / Blog
Theory
System identification is a methodology for building mathematical models of dynamic systems using measurements of the input and output signals of the system. This overview from Mathworks...
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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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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 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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Model Predictive Control
12 min
Beginner
Video
Theory
This lecture provides an overview of model predictive control (MPC), which is one of the most powerful and general control frameworks. MPC is used extensively in industrial control settings...
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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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Adaptive Control Basics: What Is Model Reference Adaptive Control?
17 min
Beginner
Video
Theory
Use an adaptive control method called model reference adaptive control (MRAC). This controller can adapt in real time to variations and uncertainty in the system that is being controlled...
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DC Motor Speed: System Modeling
Beginner
Project
Theory
This examples walks through modeling a simple DC motor in MATLAB.
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