Master formal verification techniques and controller synthesis for autonomous systems using model checking and fixed-point algorithms.
Master formal verification techniques and controller synthesis for autonomous systems using model checking and fixed-point algorithms.
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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English
What you'll learn
Analyze stability properties of linear systems
Compute reachable sets for system verification
Perform model checking for finite systems
Synthesize controllers for safety specifications
Implement feedback refinement relations
Skills you'll gain
This course includes:
6.5 Hours PreRecorded video
6 assignments
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There are 4 modules in this course
This advanced course covers techniques for verifying and synthesizing controllers for autonomous systems. Students learn about stability analysis of linear systems, reachability computation, model checking for finite systems, and controller synthesis using fixed-point algorithms. The curriculum includes practical applications using tools like SCOTS and OmegaThreads, focusing on safety and reachability specifications for autonomous systems.
Course Introduction
Module 1 · 1 Hours to complete
Verification of Finite Systems
Module 2 · 2 Hours to complete
Synthesis for Finite Systems
Module 3 · 3 Hours to complete
Abstraction and Refinement
Module 4 · 3 Hours to complete
Fee Structure
Instructor
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.
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