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System Identification: Theory for the User

Lennart Ljung, Linkoping University, Sweden
Beginner
Book
Theory

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...

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Linear Algebra Review

J. Zico Kolter
Intermediate
Course
Theory

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...

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RADAR Engineering

Engineering Funda
200 min
Intermediate
Course
Theory

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...

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MATLAB Function: ztrans

MathWorks
Intermediate
Software
Application

ztrans(f) finds the Z-Transform of f. By default, the independent variable is n and the transformation variable is z. If f does not contain n, ztrans uses symvar. 

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Model predictive control python toolbox

do-mpc
Intermediate
Software
Application

do-mpc is a comprehensive open-source toolbox for robust model predictive control (MPC) and moving horizon estimation (MHE)do-mpc enables the efficient formulation and solution of control...

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Learning From Data

Professor Yaser Abu-Mostafa
Beginner
Course
Theory

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...

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Reinforcement Learning: An Introduction

Richard S. Sutton and Andrew G. Barto
Beginner
Book
Theory

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...

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Reinforcement Learning with MATLAB.

Mohammad Dehghani, Rifat Sipahi, Sahil S. Belsare
Beginner
Course
Application

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...

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Control Design Onramp with Simulink

MathWorks
60 min
Beginner
Software
Demonstration

Learn the basics of feedback control design in Simulink®. Adjust the gains of a PID controller to change the dynamics of a physical system and get the closed-loop system behavior that you...

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Yann LeCun’s Deep Learning Course at CDS

Yann LeCun, Alfredo Canziani
Intermediate
Course
Theory

This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning...

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Interactive Course for Control Theory

Erasmus+
Beginner
Course
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...

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Kalman and Bayesian Filters in Python

rlabbe
Beginner
Software
Application

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...

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Averaging Methods in Nonlinear Dynamical Systems

Jan A. Sanders, Ferdinand Verhulst, James Murdock
Intermediate
Book
Theory

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...

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Modelling, dynamics and control

Anthony Rossiter
Beginner
Course
Theory

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...

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