
Respect the Unstable
An understanding of fundamental limitations is an essential element in all engineering. Shannon's early results on channel capacity have always had center court in signal processing...
See MoreWhy Padé Approximations Are Great! | Control Systems in Practice
Watch an introduction to Padé approximations. Learn what Padé approximations are and how to calculate them, why they are important, and when to use them—specifically in the context of time...
See MoreSystems Engineering, Part 3: The Benefits of Functional Architectures
Functional, logical, and physical architectures are important tools for designing complex systems. We describe what architectures are and how they contribute to the early stages of a project...
See MoreA Hybrid Lab Experience: Blending Hands-on Explorations with the Flexibility...
This case study examines how the Earth and Space Science and Engineering (ESSE) department at York University in Toronto offered a meaningful remote laboratory experience to over 180...
See MoreMachine Learning: What is easy, medium, and hard?
This video gives a brief overview of what is easy, medium, and hard in machine learning, explored through case studies. Progress in machine learning is rapidly advancing, and changing the...
See MoreIntroduction to Linear Quadratic Regulator (LQR) Control
In this video we introduce the linear quadratic regulator (LQR) controller. We show that an LQR controller is a full state feedback controller where the gain matrix K is computed by solving...
See MoreRadar Design with the Radar Designer App
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.
See MoreTuning PID Controllers
Tuning controllers is the procedure for choosing the coefficient values for the P, I and D modes. It must be simple to execute, fast, and non-disruptive to the operating process. Heuristic...
See MoreCascade Control
What is Cascade Control and why use it?
See MoreQuanser QUBE-Servo 2: Low-cost Teaching Platform for Controls
The Quanser QUBE-Servo 2 is a fully integrated, modular servomotor lab experiment designed for teaching mechatronics and control concepts at the undergraduate level. Ideal for teaching speed...
See MoreThe Demod Squad: A Tutorial on the Utility and Methodologies for Using Modul...
This paper is a brief tutorial on methods for using modulated signals in feedback loops, and especially of the different methods and trade offs used for demodulating those signals to get...
See MoreDSP Lecture 1: Signals
This is a video lecture for ECSE-4530 Digital Signal Processing by Rich Radke, Rensselaer Polytechnic Institute.
See MoreControl Bootcamp: LQG Example in Matlab
This video combines the LQR and Kalman filter in Matlab on the example of an inverted pendulum on a cart. We stabilize the full nonlinear system with a measurement of a single variable (the...
See MoreWhat Is Online Estimation?
This Mathworks document describes online estimation. Online estimation algorithms estimate the parameters and states of a model when new data is available during the operation of the...
See MoreMATLAB Example: Train Multiple Agents for Area Coverage
This example demonstrates a multi-agent collaborative-competitive task in which you train three proximal policy optimization (PPO) agents to explore all areas within a grid-world environment...
See MoreRobust Control, Part 3: Disk Margins for MIMO Systems
This video shows how margin can be used to assess the robustness of multi-input, multi-output systems. We’ll show how disk margin is a more complete way to represent margin for MIMO systems...
See MoreSimultaneous Range and Speed Estimation Using MFSK Waveform
This MATLAB example compares triangle sweep frequency-modulated continuous (FMCW) and multiple frequency-shift keying (MFSK) waveforms used for simultaneous range and speed estimation for...
See MoreTime Series Anomaly Detection Using Deep Learning
This example shows how to detect anomalies in sequence or time series data.
To detect anomalies or anomalous regions in a collection of sequences or time series data, you can use an...
See MoreSo You Want to be a Systems Engineer
A presentation by Gentry Lee on what qualities and characteristics make a great systems engineer. At the time of the presentation, Gentry Lee was the Chief Engineer for the Solar System...
See MoreInteractive Tool about control signal saturation (windup) with PID control
The purpose of this module is to give a familiarity with the phenomenon of integral windup and a method for avoiding it. The module shows process outputs and control signals for unlimited...
See MoreA* Pathfinding (E01: algorithm explanation)
Welcome to the first part in a series teaching pathfinding for video games. In this episode we take a look at the A* algorithm and how it works.
See MoreAveraging and Vibrational Control of Mechanical Systems
Abstract. This paper investigates averaging theory and oscillatory control for a large class of mechanical systems. A link between averaging and controllability theory is presented by...
See MoreIntroduction to Hybrid Beamforming
This MATLAB example introduces the basic concept of hybrid beamforming and shows how to simulate such a system.
See MorePulse Waveform Analyzer App
The Pulse Waveform Analyzer app lets you explore the properties of signals commonly used in radar. You can display 2-D and 3-D plots that let you visualize waveform time series and spectra.
... See MoreOrifice Calibration
The ISO method for orifice design and calibration is grounded in the ideal square-root relation between pressure drop and flow rate, specifies the in-pipe structure for an orifice, and...
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