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Modern control and state space representation

Learners: 1,031

Instructor: Hazem Ahmed

Duration:

This course is perfect for students who have completed their classical control course and are looking to take the next step. Modern Control and State Space Representation covers topics such as modeling of mass spring systems, transfer functions and Laplace transforms, state space representation, CCF & OCF, cascade and parallel realization, controllability and observability, state feedback, output feedback, and a recap on stability, eigenvalues and eigenvectors. Through lectures and tutorials, students will gain a comprehensive understanding of the concepts and be able to solve problems based on the lectures. Sign up now to take your control knowledge to the next level!▼▲

Course Feature Course Overview Course Provider

Go to class

Course Feature

Cost:

Paid

Provider:

Udemy

Certificate:

Paid Certification

Language:

English

Start Date:

2020-06-24

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 17th, 2023]

This course, Modern Control and State Space Representation, is designed for students who have completed a classical control course and are looking to take the next step. The course consists of lectures that explain the concepts and tutorials to help students solve problems based on the lectures. Topics covered include modeling of mass spring systems, transfer functions and Laplace transforms, state space representation, CCF and OCF, cascade and parallel realization, controllability and observability, state feedback, and output feedback. Additionally, the course will include a recap on stability, eigenvalues, and eigenvectors.