
Wind Tunnel Testing: Introduction and Data Acquisition
This is the first of our 3 part series on wind tunnel testing. In this video, we introduce the concept of wind tunnel testing as well as discuss the process for acquiring aerodynamic data in...
See MoreInteractive Tool about PID tuning rules
Hundreds of PID design methods are available in literature. Many of them are very similar and sometimes it is not straightforward to understand their purposes. This interactive software tool...
See MoreMATLAB function: phased.LCMVBeamformer
The phased.LCMVBeamformer object implements a narrowband linear-constraint minimum-variance (LCMV) beamformer for a sensor array. The LCMV beamformer belongs to the family of constrained...
See MoreOutput Characterization to Linearize a Loop - Control valve application
This application paper explains how a control valve created nonlinearity in a loop and how output characterization solved the problem
See MoreWhy the Riccati Equation Is important for LQR Control
This Tech Talk looks at an optimal controller called linear quadratic regulator, or LQR, and shows why the Riccati equation plays such an important role in solving it efficiently. The talk...
See MoreUsing Transfer Learning | Deep Learning for Engineers, Part 4
This video introduces the idea of transfer learning. Transfer learning is modifying an existing deep network architecture and then retraining it to accomplish your task rather than the task...
See MoreConverting Constrained Optimization to Unconstrained Optimization Using the ...
In this video we show how to convert a constrained optimization problem into an approximately equivalent unconstrained optimization problem using the penalty...
See MoreReal-Time Software Implementation of Analog Filters
Modelling analog filters, discretisation, and implementation of the digitally-equivalent filters on a real-time, embedded system (STM32). Includes theory, DSP, firmware, and results.
See MoreControlling Robotic Swarms
Come with me to the Robotics, Aerospace, and Information Networks lab at the University of Washington to learn the basics of swarm robotics. Find out how simple distributed algorithms can...
See MoreAutodesk Tinkercad
Tinkercad is a free, easy-to-use web app that equips the next generation of designers and engineers with the foundational skills for innovation: 3D design, electronics, and coding!
See MoreDSP Related
Website with a lot of good content for any DSP scientists, researchers, and developers.
See MoreTCLab: An Inexpensive Experimental Platform for Students to Learn Feedback
The temperature control lab (TCLab) reinforces process feedback control with real data. The TCLab hardware consists of an Arduino® shield that fits onto a standard Arduino Leonardo...
See MoreModel Reference Adaptive Control Fundamentals (Dr. Tansel Yucelen)
Forum on Robotics & Control Engineering (FoRCE, http://force.eng.usf.edu/) Seminar Series: "Model Reference Adaptive Control Fundamentals" (Dr. Tansel Yucelen)
See MoreDenoising Data with FFT [Matlab]
This video describes how to clean data with the Fast Fourier Transform (FFT) in Matlab.
See MoreVelocity & Acceleration in Non-Inertial Reference Frames (Coriolis &...
In this video we derive a mathematical description of velocity and acceleration in non-inertial reference frame. We examine the effect of fictitious forces that are witnessed by observers on...
See Morecrash course on complex numbers
In this video, we quickly review “Complex Numbers”. The following materials are covered:1- Cartesian and polar representation of complex numbers2- how to con...
See MoreAn interactive feedforward tool for FeedForward Control
This interactive software tool is focused on basic and advanced concepts of feedforward control.
See MoreThe Fast Fourier Transform Algorithm
Here I discuss the Fast Fourier Transform (FFT) algorithm, one of the most important algorithms of all time.
See MoreTime domain - tutorial 8: LTI systems, impulse response & convolution
In this video, the following materials are covered:1) the beauty of linear & time invariant (LTI) systems2) why the impulse response of an LTI system is so i...
See MorePID Control with Posicast, 9 - (In English)
This is part III of PID control with Posicast
See MoreLecture 12: Steady state error
Laplace Transforms to Derive Transfer Functions
Once we have a state space model, we will take a Laplace Transform to derive the transfer function to determine the response of an output relative to an inpu...
See MorePeter Ponders PID - Cascade Control Part2
The inner loop pole locations and gains are calculated first so the inner loop pole locations are determined by the user. The outer loop poles are still pla...
See MoreFeedforward Control
When and how to use feedforward control
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