Kristin Pettersen Lectures on Nonlinear Control

Kristin Pettersen Lectures on Nonlinear Control, including many of the necessary mathematical tools and concepts.

What is Residual Analysis?

Residuals are differences between the one-step-predicted output from the model and the measured output from the validation data set. Thus, residuals represent the portion of the validation...

Process Dynamics and Control Course

This course focuses on a complete start to finish process of physics-based modeling, data driven methods, and controller design. Although some knowledge of computer programming is required...

Singular Value Decomposition (SVD): Overview

This video presents an overview of the singular value decomposition (SVD), which is one of the most widely used algorithms for data processing, reduced-order modeling, and high-dimensional...

System Identification: Dynamic Mode Decomposition with Control

This lecture provides an overview of dynamic mode decomposition with control (DMDc) for full-state system identification. DMDc is a least-squares regression technique based on the singular...

Math Background for Machine Learning from Carnegie Melon University

This course provides a place for students to practice the necessary mathematical background for further study in machine learning — particularly for taking 10-601 and 10-701. Topics covered...

Measuring Angles with FMCW Radar | Understanding Radar Principles

Learn how multiple antennas are used to determine the azimuth and elevation of an object using Frequency Modulated Continuous Wave (FMCW) radar.

By looking at the phase shift between the...

READ FIRST: How to learn PLC's and get into the Industrial Automation World ...

r/PLC is dedicated to discussion and questions about Programmable Logic Controllers (PLCs): "an industrial digital computer that has been ruggedized and adapted for the control of...

Understanding the Discrete Fourier Transform and the FFT

The discrete Fourier transform (DFT) transforms discrete time-domain signals into the frequency domain. The most efficient way to compute the DFT is using a fast Fourier transform (FFT)...

Introduction to Anomaly Detection for Engineers

Anomaly detection is the process of identifying events or patterns that differ from expected behavior. This is important for applications like predictive maintenance but can be hard to...

Educational Tool for Teaching GRAFCET

e-GRAFCET is a tool for supporting the teaching-learning process of GRAFCET ( which can be implemented using the programming language Sequential Function Chart – SFC). While this tool was...

Autonomous Navigation, Part 5: What Is Extended Object Tracking?

In many practical scenarios, there are other objects that may need to be observed and tracked in order to effectively navigate within an environment. This video will show extended object...

Radar Systems Engineering Lecture 4: The Radar Equation

This Free Radar Systems Engineering Course (video, audio and screen captured ppt slides) and separate pdf slides) has been developed as a first course in Radar Systems for first year...

Geodetic Coordinates: Computing Latitude and Longitude

In this video we show how to compute the geodetic latitude and terrestrial longitude if given the velocity north and east. This is useful for simulating a body moving over a spheroid Earth...

Introduction to Hybrid Beamforming

This MATLAB example introduces the basic concept of hybrid beamforming and shows how to simulate such a system.

Neural Network Overview

This lecture gives an overview of neural networks, which play an important role in machine learning today.

Kalman and Bayesian Filters in Python

Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Juptyer Notebook so that you can run and modify the code in your...

Orifice 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...

Feedback Control and Block Diagram Introduction

How do engineers begin to design controllers to respond to disturbances and maintain set points? In this example, I'll discuss how we can design a controller...

Peter Ponders PID - Why PID with 2nd Derivative Gain?

If you have ever tuned a hydraulic system and wondered why PID control didn't work better than PI control the answer is here. Since the 1980s people have kn...

Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 8 - Policy Gr...

Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group

Extremum Seeking Control: Challenging Example

This lecture explores the use of extremum-seeking control (ESC) to solve a challenging control problem with a right-half plane zero.

Internal Model Control IMC Introduction

Internal Model Control IMC Introduction

TikZ source Code: RL Series

TikZ source Code for RL Series.

RL Course by David Silver - Lecture 2: Markov Decision Process

Explores Markov Processes including reward processes, decision processes and extensions.