Modern control and state space representation

Course Feature
  • Cost
    Paid
  • Provider
    Udemy
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    2020-06-24
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    Hazem Ahmed
Next Course
4.1
1,031 Ratings
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!
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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.

Course Syllabus

Introduction

State space

Controllability and observability

State and output feedback

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