System Identification: Theory for the User

From the Back Cover

The field's leading text, now completely updated. 

Modeling dynamical systems ― theory, methodology, and applications. 

Lennart Ljung's System Identification: Theory...

Stanford Engineering Everywhere: CS223A - Introduction to Robotics

The purpose of this course is to introduce you to basics of modeling, design, planning, and control of robot systems. In essence, the material treated in this course is a brief survey of...

Free Video Course in Radar Systems Engineering

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...

What Are Dynamic Models? Chapter 1 from Dynamic Models in Biology

Throughout this book we use a wide-ranging set of case studies to illustrate different aspects of models and modeling. In this introductory chapter we describe and give examples of different...

Linear Algebra Review

This short course is a quick review of linear algebra, intended for students who have already taken a previous course in linear algebra or have some experience with vectors and matrices. The...

Systems modeling and representations (French)

Complete course on systems modeling. Includes examples, MATLAB code, and quizzes.

Learning From Data

This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical...

Twitter 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. 

RADAR Engineering

Radar technology is used widely today. The principles involved are very fundamental and every engineering student studies them at least once. This playlist covers Radar Engineering for an EE...

Model Identification and Adaptive Control - From Windsurfing to Telecommunic...

This book is based on a workshop entitled: "Model Identification and Adap­tive Control: From Windsurfing to Telecommunications" held in Sydney, Aus­tralia, on December 16, 2000. The workshop...

Reinforcement 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...

edX course: Dynamics and Control

This is an interactive course about the basic concepts of Systems, Control and their impact in all the human activities. First, the basic concepts of systems, dynamics, structure and control...

Averaging Methods in Nonlinear Dynamical Systems

Perturbation theory and in particular normal form theory has shown strong growth during the last decades. So it is not surprising that the authors have presented an extensive revision of the...

Full 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...

Interactive Course for Control Theory

Control Theory is a topic that finds a widespread application throughout engineering and natural sciences. It is very common in electrical, mechanical and process engineering. Especially...

Nonlinear 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...

Modelling, dynamics and control

How do we model the world around us and use this to understand its behaviour? How does behaviour depend upon the engineering choices we make and therefore how do we undertake design to...

CS224n: Natural Language Processing with Deep Learning | Winter 2021

This course covers the foundations of the effective modern methods for deep learning applied to NLP, a big picture understanding of human languages and the difficulties in understanding and...

No! Not Laplace Transforms

In my 13-year industrial career, I never used Laplace transforms.  However, transfer functions and block diagram notation are efficient methods to describe dynamic behaviors, and are often...

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...

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...

Yann 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...

Reinforcement 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...

Feedback Systems: An Introduction for Scientists and Engineers

This is the wiki for the text Feedback Systems (second edition) by Karl J. Åström and Richard M. Murray. On this resource you will find the complete text of the book as well as additional...

Controls Engineering in the FIRST Robotics Competition

This guide is intended to make an advanced engineering topic approachable so it can be applied by those who aren’t experts in control theory. The intended audience is high school students...