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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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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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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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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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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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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Using the Reinforcement Learning Toolbox™ to Balance an Inverted Pendulum
30 min
Intermediate
Article / Blog
Application
Reinforcement learning (RL) is a subset of Machine Learning that uses dynamic data, not static data like unsupervised learning or supervised learning. Reinforcement learning is used in many...
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i-pIDtune: An interactive tool for integrated system identification and PID ...
Intermediate
App
Application
i-pIDtune is an interactive software tool that integrates system identification and PID controller design. The tool supports experimental design and execution under plant-friendly conditions...
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TCLab PID Control
60 min
Intermediate
Article / Blog
Application
Implement a PID controller on the Temperature Control Lab hardware to drive the temperature from room temperature to 60 degrees C. This resource lets you attempt the design yourself first...
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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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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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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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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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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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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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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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Nonlinear Model Identification
Intermediate
Article / Blog
Application
Mathwork overview page describing nonlinear model identification. Use nonlinear model identification when a linear model does not completely capture your system dynamics. You can identify...
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Matlab Radar Designer App
Intermediate
App
Application
The Radar Designer app is an interactive tool that assists engineers and system analysts with high-level design and assessment of radar systems at the early stage of radar development. Using...
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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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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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MPCTools: Nonlinear Model Predictive Control Tools for CasADi (Python Interf...
Intermediate
Software
Application
This Python package is a collection of model predictive control tools that build on CasADi by providing a simpler interface. Along with the python package, there are a bunch of example files...
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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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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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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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