Cyber-Physical System Design from an Architecture Analysis Viewpoint

Communications of NII Shonan Meetings

  • Shin Nakajima
  • Jean-Pierre Talpin
  • Masumi Toyoshima
  • Huafeng Yu

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Vania Joloboff, Andreas Gerstlauer
    Pages 1-31
  3. Loïc Besnard, Thierry Gautier, Paul Le Guernic, Clément Guy, Jean-Pierre Talpin, Brian Larson et al.
    Pages 53-79
  4. Frédéric Mallet, Eugenio Villar, Fernando Herrera
    Pages 81-108
  5. Toshiaki Aoki, Makoto Satoh, Mitsuhiro Tani, Kenro Yatake, Tomoji Kishi
    Pages 109-132
  6. Marco Bozzano, Harold Bruintjes, Alessandro Cimatti, Joost-Pieter Katoen, Thomas Noll, Stefano Tonetta
    Pages 133-159

About this book


Providing a wide variety of technologies for ensuring the safety and dependability of cyber-physical systems (CPS), this book offers a comprehensive introduction to the architecture-centric modeling, analysis, and verification of CPS. In particular, it focuses on model driven engineering methods including architecture description languages, virtual prototyping, and formal analysis methods.

CPS are based on a new design paradigm intended to enable emerging software-intensive systems. Embedded computers and networks monitor and control the physical processes, usually with the help of feedback loops where physical processes affect computations and vice versa. The principal challenges in system design lie in this constant interaction of software, hardware and physics. Developing reliable CPS has become a critical issue for the industry and society, because many applications such as transportation, power distribution, medical equipment and tele-medicine are dependent on CPS. Safety and security requirements must be ensured by means of powerful validation tools. Satisfying such requirements, including quality of service, implies having formally proven the required properties of the system before it is deployed.

The book is concerned with internationally standardized modeling languages such as AADL, SysML, and MARTE. As the effectiveness of the technologies is demonstrated with industrial sample cases from the automotive and aerospace sectors, links between the methods presented and industrial problems are clearly understandable. Each chapter is self-contained, addressing specific scientific or engineering problems, and identifying further issues. In closing, it includes perspectives on future directions in CPS design from an architecture analysis viewpoint.


Cyber-Physical Systems AADL Modeling Language Automotive Systems Aerospace Systems Model-Driven Methodology Virtual Prototyping Safety & Dependability Analysis Model Checking Performance Analysis Code Generation

Editors and affiliations

  • Shin Nakajima
    • 1
  • Jean-Pierre Talpin
    • 2
  • Masumi Toyoshima
    • 3
  • Huafeng Yu
    • 4
  1. 1.National Institute of InformaticsTokyoJapan
  2. 2.InriaRennesFrance
  3. 3.DENSO CorporationKariyaJapan
  4. 4.Boeing Research & TechnologyHuntsvilleUSA

Bibliographic information