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Mälardalen Interaction and Didactics (MIND)
Artificiell intelligens och intelligenta system
Biomedicinsk forskning
Certifierbar bevis och motiveringsteknik
Komplexa inbyggda system i realtid
Cyber-Physical Systems Analysis
Datakommunikation
Tillförlitlig programvaruteknik
Energieffektivisering och minskning av utsläpp
Engineering Mathematics
Formell modellering och analys av inbäddade system
Heterogena system
Industriell programvaruteknik
Lärande och optimering
Marknadsföring
Modellbaserad konstruktion av inbäddade system
Product and Production Development
Programmeringsspråk
Systemdesign i realtid
Förnybar energi
Robotics
Säkerhetskritisk teknik
Simulation and optimisation for future industrial applications (SOFIA)
Programvarutestlaboratorium
The research group ChiP
Ubiquitous Computing
Welfare research
Workplace Innovation and Quality Management
Safe and Secure Adaptive Collaborative Systems
There is a rapid development of technology such as self-driving cars and collaborating robots. These products are additionally integrated into collaborating ensembles, capable of delivering collaborative functions, such as vehicle platooning. At the same time as the complexity and diversity of these systems grow, they have to become increasingly adaptive, both because their complex interplay and behavior cannot be fully predicted and analyzed at design-time, and also because they operate in unpredictable environments. Current state-of practice in system architecture, software development and safety and security assurance is challenged by this development.
Start
2019-09-01
Planned completion
2023-08-31
Main financing
KK-stiftelsen
Collaboration partners
ABB Robotics, Volvo GTO, Volvo Cars, Volvo Construction Equipment AB
Project manager
Professor
Marjan Sirjani
+4621107087
marjan.sirjani@mdh.se
In SACSys, we address the core question of how to provide run-time guarantees of safety and cyber-security for time-critical collaborative adaptive systems. For achieving this goal, we will recognize and define continuous safety and security requirements with time-criticality features in adaptive systems (through subproject CASSA), and design behavioral models at run-time to analyze and check conformance of the safety and security requirements (through subproject APAC). The analysis of such models will be executed in a suitable cloud-based platform with real-time guarantees, provided by novel approaches (developed within subproject RTCloud). These subprojects will each contribute with a required element, and jointly provide a viable answer to the SACSys core question. The Swedish industrial giants, Volvo Cars, Volvo GTO, Volvo CE and ABB Robotics participate in coproduction throughout the project by provision of requirements and use cases as well as involvement and guidance in research focus and implementation.
The co-production and results of SACSys are expected to increase the business prospects of the industrial partners by increased competence and key solutions that will strengthen their competitiveness related to design of collaborative adaptive system products and services. Prof. Edward Lee from UC Berkeley, the world’s leading expert in cyber-physical systems, and Prof. David Garlan from CMU, the internationally known expert in self-adaptive software, will contribute as external advisors of the project.
