
Wind Tunnel Data Analysis and Testing Considerations
This is the last video in our 3 part series on wind tunnel testing. In this video, we discuss what typical plots of wind tunnel data might look like and how to extract relevant information...
See MoreWhat are Phased Arrays?
This video introduces the concept of phased arrays. An array refers to multiple sensors, arranged in some configuration, that act together to produce a desired sensor pattern. With a phased...
See MoreVibrational control of nonlinear systems: Vibrational controllability and tr...
In the first part of this work, the criteria for the existence of stabilizing parametric oscillations have been derived. In the present paper, the problem of choosing the stabilizing...
See MoreNonlinear Control Output Signal Characterization
If the process gain makes large changes over the operating range, then tuning PID (or other linear) controllers is difficult. If tuned for one region, the controller is undesirably sluggish...
See MoreSystems Engineering, Part 2: Towards a Model-Based Approach
The role of systems engineering is to help find and maintain a balance between the stakeholder needs, the management needs, and the engineering needs of a project. So we can think of it as...
See MoreMatlab: The Radar Equation
This Mathworks page explains the parameters of the radar range equation. The point target radar range equation estimates the power at the input to the receiver for a target of a given radar...
See MoreScaled Transmission Signals, Engineering Units, and Conversions
Information is transmitted in scaled signals (4-20 mA, 3-15 psig, 0-100%, digital counts), which are also deviations from some reference vales (such as psi gage is to psia). But process...
See MorePathfinding with A*
An interactive visual explanation of the A* pathfinding algorithm. This resource uses motivating examples from computer games.
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Toys for Control Education
Teaching materials for control engineering education that run in web browsers. Speed control, position control, step response of 2nd order system, pole and impulse response, and rocket.
See MoreMATLAB Documentation page: idLinear mapping object
This is the Mathworks documentation page for the idLinear mapping object.
See MoreWhat Is a Control System and Why Should I Care? (Part 2)
This second video introduces some of the methods that engineers use to build control systems. It shows how we use science to help us derive models of systems from both measurements and...
See MorePole Placement for the Inverted Pendulum on a Cart [Control Bootcamp]
Here we use the 'place' command in Matlab to design full-state feedback gains to specify the eigenvalues of the closed-loop system. This is demonstrated on the inverted pendulum on a cart.
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 MoreZáklady automatizácie a teórie systémov – videokurz (Slovak)
Pozrite si videokurz zo základov teórie systémov a automatizácie. Náš kurz má 7 lekcií.
See MoreFull Stack Deep Learning
There are many great courses to learn how to train deep neural networks. However, training the model is just one part of shipping a deep learning project. This course teaches full-stack...
See MoreReinforcement Learning: An Introduction
From the book introduction:
The idea that we learn by interacting with our environment is probably the first to occur to us when we think about the nature of learning. When an infant plays...
See MoreProjectile Motion Equations and Theory
In this video, an important topic under 2D Kinematics i.e. Projectile Motion, is covered. Its theory, equations, and examples are thoroughly discussed.
See MoreReinforcement Learning with MATLAB.
This repository contains series of modules to get started with Reinforcement Learning with MATLAB.
It is divided into 4 stages.
In Stage 1, we start with learning RL concepts by manually...
See MoreHow Antennas Work
Antennas constitute as a major component in various communication systems, signal transmission and many others. It is important to understand how they work and create propagating waves in...
See MoreFeedforward tuning rules for measurable disturbances with PID control: a tut...
Feedforward control can be considered as the most well-known control approach to deal with measurable disturbances. It started to be used almost 100 years ago, and since then it is being...
See MoreSystem Identification: Full-State Models with Control
This lecture provides an overview of modern data-driven regression methods for linear and nonlinear system identification, based on the dynamic mode decomposition (DMD), Koopman theory, and...
See MoreMassive MIMO Hybrid Beamforming
This MATLAB example shows how hybrid beamforming is employed at the transmit end of a massive MIMO communications system, using techniques for both multi-user and single-user systems. The...
See MoreMeasurements, Transmission Signals, and Issues
This is an introduction to scaled information transmission signals (for example 4-20 mA, 3-15 psig, etc.), the actual sensed signals (like using orifice dP to infer flow rate, or temperature...
See MoreNyquist Stability Criterion
The Wikipedia article on Nyquist Stability Criterion. This covers the Nyquist plot, the Cauchy argument principle, and the stability criterion itself. A mathematical derivation is also...
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