Automated Synthesis of Stochastic Cyber-Physical Systems: A Robust Approach
This project aims to revolutionize the design of cyber-physical systems by automating robust control software synthesis from high-level requirements, enhancing reliability and reducing costs in safety-critical applications.
Projectdetails
Introduction
Cyber-physical systems (CPS) are complex systems with tight interactions between cyber elements and physical components. The cyber elements are control algorithms implemented by computer-based software.
Current Challenges
Developing the embedded control software for CPS is currently ad hoc and error-prone, which has created costly undesired behaviours, particularly in safety-critical applications. Examples of such undesired behaviours include:
- Frequency deviation in power networks causing outages or blackouts (e.g., in Jan 2021 in EU, affecting 200k households)
- Crash of airplanes due to software bugs (Boeing 737 Max, costs 15.9 billion euros)
- Autonomous cars having software bugs (Toyota recalled 65,000 cars in 2015)
Nowadays, most of the costs of CPS design are spent on ensuring that the system meets all the requirements, especially when it is working in uncertain conditions.
Proposed Solution
In order to design reliable CPS and to reduce the costs of such a design, I propose a novel robust synthesis approach that computes automatically the control software from high-level requirements.
Paradigm Shift
This novel approach creates a paradigm shift in CPS design as it computes control software in a push-button manner and eliminates time-consuming, costly post-validation steps.
Tackling Complexity
The approach tackles the CPS complexity by developing new abstraction techniques that are compositional and robust to model uncertainties, which will be integrated into a unified framework for automating the design of the control software.
Foundation of the Synthesis Paradigm
This synthesis paradigm is founded on novel compositional similarity relations with coupled uncertainties and coupled computations on abstract models.
Project Risk and Gain
My project is high-risk because it requires merging and re-thinking different design methodologies from multiple disciplines including control theory, computer science, and probability theory.
It is high-gain since it will transform the design principles of CPS to enable designing large-scale yet reliable and safe CPS working autonomously in uncertain conditions.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.993.756 |
Totale projectbegroting | € 1.993.756 |
Tijdlijn
Startdatum | 1-11-2023 |
Einddatum | 31-10-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EVpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Automated Synthesis of Certifiable Control Software for Autonomous VehiclesCertiCar aims to develop a reliable, formally correct advanced collision avoidance system to enhance safety and reduce testing time for autonomous vehicle control software. | ERC Proof of... | € 150.000 | 2024 | Details |
Theoretical Foundations of Advanced SynthesisThis project aims to develop advanced synthesis methods for complex systems by enhancing quality measures, incorporating game-theoretic aspects, and addressing unpredictable environments. | ERC Advanced... | € 2.328.750 | 2022 | Details |
Autonomous Robots with Common SenseThis project aims to develop an 'Artificial Physical Awareness' autopilot system for autonomous robots, enabling them to operate safely and effectively despite failures by understanding their limitations. | ERC Consolid... | € 1.996.040 | 2024 | Details |
Reactive Synthesis in ActionThe SYNTACT PoC aims to test and promote reactive synthesis technologies in industrial settings to enhance software correctness and reduce development costs, paving the way for broader adoption. | ERC Proof of... | € 150.000 | 2022 | Details |
Intelligence-Oriented Verification&Controller SynthesisInOVation&CS aims to enhance the scalability and reliability of controller synthesis through AI/ML-driven verification methods, focusing on explainability and structured problem-solving. | ERC Consolid... | € 1.995.000 | 2025 | Details |
Automated Synthesis of Certifiable Control Software for Autonomous Vehicles
CertiCar aims to develop a reliable, formally correct advanced collision avoidance system to enhance safety and reduce testing time for autonomous vehicle control software.
Theoretical Foundations of Advanced Synthesis
This project aims to develop advanced synthesis methods for complex systems by enhancing quality measures, incorporating game-theoretic aspects, and addressing unpredictable environments.
Autonomous Robots with Common Sense
This project aims to develop an 'Artificial Physical Awareness' autopilot system for autonomous robots, enabling them to operate safely and effectively despite failures by understanding their limitations.
Reactive Synthesis in Action
The SYNTACT PoC aims to test and promote reactive synthesis technologies in industrial settings to enhance software correctness and reduce development costs, paving the way for broader adoption.
Intelligence-Oriented Verification&Controller Synthesis
InOVation&CS aims to enhance the scalability and reliability of controller synthesis through AI/ML-driven verification methods, focusing on explainability and structured problem-solving.
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Software defined Automation Control SystemHet project ontwikkelt een software gedefinieerde automatiseringsmodule die verouderde PLC-systemen vervangt en integratie, monitoring en controle in de bedrijfsautomatisering verbetert. | Mkb-innovati... | € 315.560 | 2019 | Details |
Integrated Safety for Deeply Embedded Systems Software (ISAFE)
Het ISAFE-project ontwikkelt een geïntegreerde aanpak voor de kwalificatie van softwaretools in veiligheid kritische systemen, gericht op het voldoen aan veiligheidsstandaarden en het verbeteren van softwareontwikkeling.
Ontwikkeling besturingssoftware architecturen voor vervanging slecht leverbare hardware
QIPC ontwikkelt softwarematige architecturen ter vervanging van slecht leverbare hardware om afhankelijkheid van componenten te verminderen.
Software defined Automation Control System
Het project ontwikkelt een software gedefinieerde automatiseringsmodule die verouderde PLC-systemen vervangt en integratie, monitoring en controle in de bedrijfsautomatisering verbetert.