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Modeling of Autonomous Systems

Master the foundations of autonomous system modeling, from state-space representations to hybrid automata.

Master the foundations of autonomous system modeling, from state-space representations to hybrid automata.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Foundations of Autonomous Systems Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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Modeling of Autonomous Systems

This course includes

8 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Model autonomous systems using state-space representations

  • Understand timed and hybrid automata concepts

  • Analyze system behaviors and compositions

  • Implement various system interconnection methods

  • Apply modeling techniques to real-world autonomous systems

Skills you'll gain

System Modeling
Autonomous Systems
Control Theory
Hybrid Automata
State Diagrams
Dynamic Systems
Timed Automata
System Composition
Mathematical Modeling
Cyber-Physical Systems

This course includes:

4 Hours PreRecorded video

6 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 4 modules in this course

This comprehensive course explores the modeling of autonomous systems, covering everything from basic state diagrams to complex hybrid automata. Students learn fundamental principles of system modeling through real-world examples like the Ariane 5 rocket and self-driving cars. The curriculum progresses from foundational concepts to advanced topics in system composition and behavior analysis, incorporating both theoretical frameworks and practical applications in autonomous system design.

Course Introduction

Module 1 · 1 Hours to complete

Foundations of Autonomous Systems Modeling

Module 2 · 1 Hours to complete

Modeling Physical Systems and Hybrid Systems

Module 3 · 2 Hours to complete

Systems' Behaviors and Composition

Module 4 · 2 Hours to complete

Fee Structure

Instructor

Majid Zamani
Majid Zamani

1,296 Students

3 Courses

Associate Professor

Majid Zamani is an Associate Professor in the Computer Science Department at the University of Colorado Boulder. He previously served as an Assistant Professor in the Department of Electrical Engineering at the Technical University of Munich from May 2014 to January 2019, where he led the Hybrid Control Systems Group. Dr. Zamani earned his Ph.D. and M.A. in Mathematics from the University of California, Los Angeles (UCLA) in 2012, along with an M.Sc. in Electrical Engineering from Sharif University of Technology in 2007 and a B.Sc. in Electrical Engineering from Isfahan University of Technology in 2005.His research focuses on critical areas such as verification and control of cyber-physical systems, secure-by-construction synthesis, information-based control, and the compositional analysis and synthesis of interconnected systems. Dr. Zamani has received numerous accolades for his work, including the George S. Axelby Outstanding Paper Award from the IEEE Control Systems Society in 2023, the NSF CAREER Award in 2022, and grants from the European Research Council in both 2018 and 2023.At CU Boulder, he teaches courses such as "Modeling of Autonomous Systems," "Requirement Specifications for Autonomous Systems," and "Verification and Synthesis of Autonomous Systems." Through his teaching and research initiatives, Majid Zamani is dedicated to advancing knowledge in autonomous systems and control theory, preparing students for future challenges in these rapidly evolving fields.

Modeling of Autonomous Systems

This course includes

8 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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