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State Space, Part 2: Pole Placement

Mathworks - Brian Douglas
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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An Introduction to the Kalman Filter

Greg Welch and Gary Bishop
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

Mathworks - Brian Douglas
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)

Christian Wolff
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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System Identification Overview

Mathworks
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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Kalman Filter Virtual Lab

MathWorks - Melda Ulusoy
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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Discrete Fourier Transform

MathWorks
Intermediate
Article / Blog
Theory

The discrete Fourier transform, or DFT, is the primary tool of digital signal processing. The foundation of the product is the fast Fourier transform (FFT), a method for computing the DFT...

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Kalman Filter Design

Mathworks
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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Model Predictive Control

Steve Brunton
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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Modeling Physical Systems, An Overview

Brian Douglas
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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