Coursera

Introdução ao Controle Moderno (Coursera)

Offered by Instituto Tecnológico de Aeronáutica,

Este curso lhe dará a base necessária para entender técnicas mais avançadas de controle moderno.
Você aprenderá como representar a dinâmica de um sistema no espaço de estados, como analisar um sistema no espaço de estados, como projetar uma realimentação de estado e como projetar um observador de estado.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

A partir desde conhecimento básico você já será capaz de realizar a análise e o projeto no espaço de estados e poderá avançar em seus estudos no controle moderno.

Syllabus

WEEK 1: Introdução
WEEK 2: Modelagem no Espaço de Estados
WEEK 3: Análise no Espaço de Estados
WEEK 4: Projeto de Regulação no Espaço de Estados
WEEK 5: Projeto de Rastreamento no Espaço de Estados
WEEK 6: Observadores de Estado
WEEK 7: Controle Moderno no MATLAB

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

The Hong Kong University of Science and Technology - HKUST

Mathematics for Engineers: The Capstone Course (Coursera)

Sci: Mathematics

Mathematics for Engineers: The Capstone Course provides a capstone project for students who are completing the Mathematics for Engineers specialization. Students will first learn some basic concepts in computational fluid dynamics, and then apply these concepts to compute the fluid flow around a cylinder. Access to MATLAB online and the MATLAB grader is given to all students who enroll.

Nov 2nd 2026

3 Weeks

Math MATLAB Fluid Flow

Coursera

Stanford University

Machine Learning (Coursera)

Statistics & Data Analysis Data Science

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.

Nov 2nd 2026

5-12 Weeks

Artificial Intelligence MATLAB Algorithms

Coursera

MathWorks

Machine Learning for Computer Vision (Coursera)

Data Science

In the second course of the Computer Vision for Engineering and Science specialization, you will perform two of the most common computer vision tasks: classifying images and detecting objects. You will apply the entire machine learning workflow, from preparing your data to evaluating your results. By the end of this course, you’ll train machine learning models to classify images of street signs and detect material defects.

Nov 2nd 2026

4 Weeks

MATLAB Machine Learning Computer Vision

Coursera

University at Buffalo,The State University of New York

Computer Vision Basics (Coursera)

Computer Science

By the end of this course, learners will understand what computer vision is, as well as its mission of making computers see and interpret the world as humans do, by learning core concepts of the field and receiving an introduction to human vision capabilities. They are equipped to identify some key application areas of computer vision and understand the digital imaging process. The course covers crucial elements that enable computer vision: digital signal processing, neuroscience and artificial intelligence.

Nov 2nd 2026

4 Weeks

MATLAB Computer Vision Computer Programming

Coursera

MathWorks

Object Tracking and Motion Detection with Computer Vision (Coursera)

Engineering

In the third and final course of the Computer Vision for Engineering and Science specialization, you will learn to track objects and detect motion in videos. Tracking objects and detecting motion are difficult tasks but are required for applications as varied as microbiology and autonomous systems. To track objects, you first need to detect them. You’ll use pre-trained deep neural networks to perform object detection. You’ll also use optical flow to detect motion and use the results to detect moving objects.

Nov 2nd 2026

4 Weeks

MATLAB Computer Vision Object Detection

Coursera

University of Chicago

Global Warming I: The Science and Modeling of Climate Change (Coursera)

Sci: Energy & Earth Sciences Sci: Physical & Earth Sciences

This class describes the science of global warming and the forecast for humans’ impact on Earth’s climate. Intended for an audience without much scientific background but a healthy sense of curiosity, the class brings together insights and perspectives from physics, chemistry, biology, earth and atmospheric sciences, and even some economics—all based on a foundation of simple mathematics (algebra).

Nov 16th 2026

5-12 Weeks

Science Global Warming Earth

Coursera

L&T EduTech

Industrial Applications of AI (Coursera)

CS: Information & Technology

The course Embarks on a transformative learning journey exploring the power of Artificial Intelligence across diverse fields such as electrical, mechanical, civil, and general applications. This course elevates the learner’s insight on AI towards the real-world practices by bridging the gap between theory and practical applications. It also provides hands-on experience of applying AI algorithms into potential applications.

Nov 2nd 2026

5-12 Weeks

ML Artificial Intelligence Computing

Coursera

Starweaver

Business Analysis: Key Definitions & Strategy Analysis (Coursera)

Business

This comprehensive course provides a strong foundation in business analysis principles, techniques, and strategies. It covers essential topics such as the definition of business analysis, various requirement types, career paths in business analysis, and the Business Analysis Body of Knowledge (BABOK) guide. It also delves into key definitions and practical techniques used in business analysis.

Nov 2nd 2026

4 Weeks

Risk Strategy Modeling

Coursera

Starweaver

Matlab and Simulink Basics (Coursera)

CS: Software Engineering

Matlab and Simulink Basics is a meticulously crafted course offering a comprehensive introduction to Matlab's programming environment and Simulink's modeling capabilities. This course is tailored for individuals keen on bolstering their skills in these indispensable tools for engineering, science, and research domains. From laying down foundational concepts to delving into practical applications, participants will embark on a journey that hones their abilities to manipulate data, design models, and interpret results with Matlab and Simulink.

Nov 9th 2026

4 Weeks

MATLAB Data Analysis Computer Programming

Coursera

Johns Hopkins University

Calculus through Data & Modeling: Differentiation Rules (Coursera)

Sci: Mathematics

Calculus through Data & Modeling: Differentiation Rules continues the study of differentiable calculus by developing new rules for finding derivatives without having to use the limit definition directly. These differentiation rules will enable the calculation of rates of change with relative ease the derivatives of polynomials, rational functions, algebraic functions, exponential and logarithmic functions, and trigonometric and inverse trigonometric functions.

Nov 2nd 2026

5-12 Weeks

Math Calculus Modeling

Coursera

MathWorks

Exploratory Data Analysis with MATLAB (Coursera)

Statistics & Data Analysis Data Science

In this course, you will learn to think like a data scientist and ask questions of your data. You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. You will learn to use MATLAB to automatically generate code so you can learn syntax as you explore. You will also use interactive documents, called live scripts, to capture the steps of your analysis, communicate the results, and provide interactive controls allowing others to experiment by selecting groups of data.

Nov 2nd 2026

5-12 Weeks

MATLAB Data Analysis Exploratory Data Analysis

Coursera

University of Michigan

Applied Text Mining in Python (Coursera)

Statistics & Data Analysis Data Science

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling).

Nov 9th 2026

4 Weeks

Programming Python Machine Learning