
Creating Discrete-Time Models
This MATLAB example shows how to create discrete-time linear models using the tf, zpk, ss, and frd commands.
Why Choose Deep Learning? Deep Learning for Engineers, Part 1
This video introduces deep learning from the perspective of solving practical engineering problems. The goal is to provide an introduction to the range of practical engineering problems that...
See MoreIntro to Data Science: The Nature of Data
This lecture discusses the types of data you might encounter, and how it determines which techniques to use.
See MoreA Tutorial on PES Pareto Methods for Analysis of Noise Propagation in Feedba...
This paper represents a tutorial on the so called PES Pareto methodology of analyzing the sources of noise in a feedback loop. Originally conceived for analyzing noise contributors in...
See MoreControl Systems in Practice, Part 4: Why Time Delay Matters
Time delays exist in two varieties: signal distorting delays, like phase lag, in which each frequency is delayed by a different amount of time, resulting in a distorted signal shape; and non...
See MoreMATLAB Example: Online Recursive Least Squares Estimation
This example shows how to implement an online recursive least squares estimator. You estimate a nonlinear model of an internal combustion engine and use recursive least squares to detect...
See MoreDrone Simulation and Control, Part 1: Setting Up the Control Problem
Quadcopters and other styles of drones are extremely popular, partly because they have sophisticated programmed control systems that allow them to be stable and fly autonomously with very...
See MoreRadar Systems Engineering MATLAB Documentation and Examples
The functions in this section give you the MATLAB tools needed to evaluate the performance of a radar system. You can use the radar equation to evaluate the radar received signal-to-noise...
See MoreTwitter Thread: Vibrational control of mechanical systems
This Twitter thread by @ahmedallibhoy walks through an explanation of controlling an inverted pendulum with an open-loop vibrational controller.
See MoreUnderstanding P, I, and D
Understanding what the proportional, integral, and derivative terms do within the PID controller is essential to choose appropriate action, trouble shoot controllers, chose appropriate...
See MoreMATLAB Online
Use MATLAB and Simulink through your web browser. No downloads or installations. MATLAB® Online™ provides access to MATLAB and Simulink from any standard web browser wherever you have...
See MoreDecoding a Laplace Representation of a Controller
A how to relate the Laplace notation to the PID controller variation and features
See MoreSimulink Onramp
Learn the basics of how to create, edit, and simulate models in Simulink®. Use block diagrams to represent real-world systems and simulate components and algorithms.
See MoreStudent's Guide to Bayesian Statistics
This video provides a summary of a textbook Bed Lambert wrote on Bayesian inference and accompanying (freely available) YouTube course.
See MoreUsing ‘fminsearch’ to Minimize a Function Specified by a File with Extra Par...
In this video we show 4 different ways to use/call Matlab’s ‘fminsearch’ function to perform unconstrained optimization.Topics and timestamps:0:00 – Introduc...
See MoreMathworks Model Reference Adaptive Control Overview
This website provides an overview of the mathematics behind Model Reference Adaptive Control (MRAC). MRAC is a model-based, real-time adaptive control algorithm that computes control actions...
See MoreData based modeling of nonlinear dynamic systems using System Identification...
Using an engine throttle valve modeling example, this demo shares some perspectives on creation of nonlinear models of dynamic systems from the measurements of its input and outputs. It...
See MoreYann LeCun’s Deep Learning Course at CDS
This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning...
See MoreSystems Engineering, Part 4: An Introduction to Requirements
Get an introduction to an important tool in systems engineering: requirements. You'll learn about the three things every requirement must have and what makes a requirement valid. You'll also...
See More1D Kinematics - Speed, Velocity, Acceleration
Walter Lewin is one of the most reputed professors and was a former lecturer at MIT. His free to watch series on YouTube titled 8.01 is an excellent one for undergrads and high school...
See MoreWhat are Transfer Functions? | Control Systems in Practice
This video introduces transfer functions - a compact way of representing the relationship between the input into a system and its output. It covers why transfer functions are so popular and...
See MoreOnline and Recursive System Identification | System Identification, Part 4
Online system identification algorithms estimate the parameters and states of a model as new data is measured and available in real-time or near real-time. Brian Douglas covers what online...
See MorePython Control Systems Library
The python-control package is a set of python classes and functions that implement common operations for the analysis and design of feedback control systems. The initial goal is to implement...
See MoreNonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields...
From the reviews: "This book is concerned with the application of methods from dynamical systems and bifurcation theories to the study of nonlinear oscillations. Chapter 1 provides a review...
See MoreMATLAB Example: Waveform Analysis Using the Ambiguity Function
This example shows how to use the ambiguity function to analyze waveforms. It compares range and Doppler capabilities of several common pulsed waveforms such as the rectangular waveform, the...
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