State Space, Part 2: Pole Placement
14 min
Beginner
Video
Theory
This video provides an intuitive understanding of pole placement, also known as full state feedback. This is a control technique that feeds back every state to guarantee closed- loop...
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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 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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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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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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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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Machine Learning Control: Tuning a PID Controller with Genetic Algorithms (P...
9 min
Beginner
Video
Theory
This lecture shows how to use genetic algorithms to tune the parameters of a PID controller. Tuning a PID controller with genetic algorithms is not generally recommended, but is used to...
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