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Grant: Discovery Grants Program - Individual

Concordia University

$38,000.00

Development on Smarter, Safer, More Reliable and Resilient Safety-Critical Cyber-Physical Systems

FY 2024-25

Summary
Although the concepts and developments on Fault Detection and Diagnosis (FDD) and Fault-Tolerant Control (FTC) have been progressively and extensively investigated worldwide since the 1970s and 1980s, respectively, the recent catastrophic crashes of two Boeing 737 MAX8 airplanes in 2019 have again highlighted the necessity and urgency for FDD and FTC research & development and their industrial applications. On the other hand, unmanned systems (USs, including Unmanned Aerial Vehicles (UAVs), Unmanned Ground Vehicles (UGVs), Autonomous/Driverless Vehicles (AVs), and other transportation vehicles on the land, on/under the water), Smart Grids (SGs, including winds, solar, and hydro energies etc.), and Smart Cities (SCs) are gaining more and more attention and rapid development during the last few years due to their relatively easy and cost-effective uses in various application tasks directly linking to our daily life for better mobility, cleaner energy and sustainable development while fighting with climate change and global warming issues. These new advancements are benefited significantly from technical advances in communication, computation, control, actuators, sensors, networks and new/smart designs and also linked more to rapidly developed and widely spread Artificial Intelligence (AI) and deep neural network learning technologies. Due to a higher level of size and complexity in systems, in particular the added technical challenges due to the involvement of more electronic devices with both hardware and software and with large-scale and distributed networked systems, artificial cyber-attacks through communication networks, along with physical faults, could occur during systems operation, which will all lead to physical damages of the system and thus critical issues on stability, performance, safety, and security of the normal operations of the above-mentioned unmanned systems, smart grids, and smart cities. In this DG project, new developments with systematic theory and new techniques will be developed and extended from the applicant's previous DG grants under a more general system framework of Cyber-Physical Systems (CPSs) with typical Safety & Security (S&S) critical CPSs as development and application examples, such as unmanned systems and smart grids under the big umbrella of future smart cities. The objective is to develop systematic theory and methodologies to handle both physical faults and cyber-attacks potentially occurred in these S&S critical CPSs simultaneously by employing and integrating model-based and AI-based methodologies for making these CPSs smarter, safer, more reliable and more resilient with better intelligence, safety, reliability, and security.
Program
Discovery Grants Program - Individual
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2023-05661
Name nom
Zhang, Youmin
Department département
Department of Mechanical and Industrial Engineering
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
38000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
703
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Aerospace
Area of application fr
Aérospatial
Research subject code
2108
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Aerospace, aeronautical and automotive engineering
Research subject fr
Génie aérospatial, aéronautique et automobile
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Development on Smarter, Safer, More Reliable and Resilient Safety-Critical Cyber-Physical Systems
Keywords
safety-critical cyber-physical systems; fault/attack/damage detection and diagnosis; fault/attack/damage-tolerant control; autonomous and resillient control; fault/attack/damage-tolerant cooperative control; safety, reliability and security; unmanned aerial vehicles (uavs); unmanned ground vehicles (ugvs); smart grids and renewable energy systems; smart cities
Application summary
Although the concepts and developments on Fault Detection and Diagnosis (FDD) and Fault-Tolerant Control (FTC) have been progressively and extensively investigated worldwide since the 1970s and 1980s, respectively, the recent catastrophic crashes of two Boeing 737 MAX8 airplanes in 2019 have again highlighted the necessity and urgency for FDD and FTC research & development and their industrial applications. On the other hand, unmanned systems (USs, including Unmanned Aerial Vehicles (UAVs), Unmanned Ground Vehicles (UGVs), Autonomous/Driverless Vehicles (AVs), and other transportation vehicles on the land, on/under the water), Smart Grids (SGs, including winds, solar, and hydro energies etc.), and Smart Cities (SCs) are gaining more and more attention and rapid development during the last few years due to their relatively easy and cost-effective uses in various application tasks directly linking to our daily life for better mobility, cleaner energy and sustainable development while fighting with climate change and global warming issues. These new advancements are benefited significantly from technical advances in communication, computation, control, actuators, sensors, networks and new/smart designs and also linked more to rapidly developed and widely spread Artificial Intelligence (AI) and deep neural network learning technologies. Due to a higher level of size and complexity in systems, in particular the added technical challenges due to the involvement of more electronic devices with both hardware and software and with large-scale and distributed networked systems, artificial cyber-attacks through communication networks, along with physical faults, could occur during systems operation, which will all lead to physical damages of the system and thus critical issues on stability, performance, safety, and security of the normal operations of the above-mentioned unmanned systems, smart grids, and smart cities. In this DG project, new developments with systematic theory and new techniques will be developed and extended from the applicant's previous DG grants under a more general system framework of Cyber-Physical Systems (CPSs) with typical Safety & Security (S&S) critical CPSs as development and application examples, such as unmanned systems and smart grids under the big umbrella of future smart cities. The objective is to develop systematic theory and methodologies to handle both physical faults and cyber-attacks potentially occurred in these S&S critical CPSs simultaneously by employing and integrating model-based and AI-based methodologies for making these CPSs smarter, safer, more reliable and more resilient with better intelligence, safety, reliability, and security.