Temperature Control Lab (TCL)
Beginner
Hardware
Application
The temperature control lab is an application of feedback control with an Arduino, an LED, two heaters, and two temperature sensors. The heater power output is adjusted to maintain a desired...
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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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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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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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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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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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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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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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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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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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Fixed-Point HDL-Optimized Minimum-Variance Distortionless-Response (MVDR) Be...
Intermediate
Example
Application
This example shows how to implement a fixed-point HDL-optimized minimum-variance distortionless-response (MVDR) beamformer in MATLAB.
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MATLAB Example: Fault Detection Using an Extended Kalman Filter
Intermediate
Project
Application
This example shows how to use an extended Kalman filter for fault detection. The example uses an extended Kalman filter for online estimation of the friction of a simple DC motor...
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ITCRI: An Interactive Software Tool for Control-Relevant Identification
Intermediate
App
Application
The Interactive Tool for Control Relevant Identification (ITCRI) comprehensively captures the control-relevant identification process, from input design to closed-loop control, depicting...
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Twitter Thread: Vibrational control of mechanical systems
Intermediate
Social Media
Application
This Twitter thread by @ahmedallibhoy walks through an explanation of controlling an inverted pendulum with an open-loop vibrational controller.
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Algorithms for Automated Driving
Intermediate
Project
Application
Each chapter of this (mini-)book guides you in programming one important software component for automated driving. Currently, this book contains two chapters: Lane Detection, and Control...
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MATLAB Function: phased.MVDRBeamformer
Intermediate
Article / Blog
Application
The phased.MVDRBeamformer System object™ implements a narrowband minimum-variance distortionless-response (MVDR) beamformer. The MVDR beamformer is also called the Capon beamformer. An MVDR...
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Simulating Test Signals for a Radar Receiver
Intermediate
Example
Application
This example shows how to simulate received signal of a monostatic pulse radar to estimate the target range. A monostatic radar has the transmitter collocated with the receiver. The...
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Model predictive control python toolbox
Intermediate
Software
Application
do-mpc is a comprehensive open-source toolbox for robust model predictive control (MPC) and moving horizon estimation (MHE). do-mpc enables the efficient formulation and solution of control...
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Road Sign Detection using Transfer Learning on RetinaNet
15 min
Intermediate
Article / Blog
Application
This blog outlines a number of open-source resources for transfer learning that are worthy of exploring, ands show the result of using transfer learning on RetinaNet to develop a road sign...
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MATLAB Function: ztrans
Intermediate
Software
Application
ztrans(f) finds the Z-Transform of f. By default, the independent variable is n and the transformation variable is z. If f does not contain n, ztrans uses symvar.
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Improving the Beginner's PID - Introduction
30 min
Beginner
Article / Blog
Application
In conjunction with the release of the new Arduino PID Library Brett has released this series of posts that explain his PID code. He start's with what he call's “The Beginner’s PID.” He...
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ITSIE: An Interactive Software Tool for System Identification Education
Beginner
App
Application
ITSIE is an Interactive Tool for System Identification Education. The tool is developed using Sysquake, a Matlab-like language with fast execution and excellent facilities for interactive...
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Increasing Angular Resolution with Virtual Arrays
Intermediate
Example
Application
This MATLAB example introduces how forming a virtual array in MIMO radars can help increase angular resolution. It shows how to simulate a coherent MIMO radar signal processing chain using...
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Conventional and Adaptive Beamformers
Intermediate
Example
Application
This example illustrates how to apply digital beamforming to a narrowband signal received by an antenna array. Three beamforming algorithms are illustrated: the phase shift beamformer...
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Extremum Seeking Control in Matlab
17 min
Beginner
Video
Application
This lecture explores extremum-seeking control (ESC) on a simple example in Matlab. In particular, a discrete-time (digital) version of ESC is coded in a Matlab script.
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