Modeling, Design, Analysis and Management of Embedded Control Systems for Automated Driving
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 7659
Special Issue Editors
Interests: systems theory; architecture design; ontological engineering; domain-specific language; logic programming; anomaly detection; safety engineering
Special Issues, Collections and Topics in MDPI journals
Interests: dependability engineering; safety and security assurance; automated systems
Interests: system architecture; automated systems; safety and security assurance; verification and validation of automated driving systems; product-line management
Special Issue Information
Dear Colleagues,
Embedded Control Systems (ECS) constitute the key enabling technology for autonomous agents and multi-agent systems. The aim is to allow a wide range of intelligent features, relating to the operation perception, situation reasoning, action planning and actuation of physical processes and human behaviors, through the integration of advanced functions, embedded software and hardware. Many of these intelligent features are, however, safety or mission critical, as the errors can result in system failures with unreasonable risks. This calls on the one hand for effective engineering methods and tools for correct by construction, verification and validation; and, on the other hand, for advanced technologies for observing and analyzing various actual operational feedbacks.
This Special Issue focuses on the modeling, design, analysis and management of ECS for Automated Driving (AD) vehicles. We solicit high-quality articles presenting original and unpublished results of conceptual, theoretical, and empirical research relating to system specifications, quality management, safety and reliability engineering. We also especially welcome industrial insights, experiences and practices regarding post-deployment-time data collection and analysis for safety certification, product-line and lifecycle management.
Dr. Dejiu Chen
Dr. Fredrik Warg
Dr. Anders Thorsén
Dr. Anders Cassel
Guest Editors
Manuscript Submission Information
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Keywords
- knowledge engineering
- ontological engineering
- system modeling and analysis
- architecture design and optimization
- simulation, formal methods
- variability modeling and analysis
- operational and functional safety engineering
- reliability engineering
- contract theory and component-based engineering
- self-adaptation
- XAI and data-driven analysis
- lifecycle management
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