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DTSTART;TZID=America/Los_Angeles:20180606T150000
DTEND;TZID=America/Los_Angeles:20180606T160000
DTSTAMP:20231011T190742Z
CREATED:20231011T190742Z
LAST-MODIFIED:20231011T190742Z
UID:14529-1528297200-1528300800@www.cecs.uci.edu
SUMMARY:Reliable and Energy Efficient Battery-Powered Cyber-Physical Systems
DESCRIPTION:Name: Korosh Vatanparvar\nDate: Wednesday\, May 30th \nTime: 3:00 — 5:00 PM \nLocation: Calit2 3008 \nCommittee: Professor Prof. Mohammad Al Faruque (Chair) \nAbstract: \nCyber-Physical Systems (CPS) were presented as a solution to multidisciplinary integration and control in embedded systems. They provide seamless interactions between cyber and physical domains\, enabling more intelligent and complicated control applications. However\, CPS face the challenges of reliability and energy efficiency since they mainly rely on batteries for power supply. \nWe investigate these issues with Electric Vehicles (EV) which are common battery-powered CPS. EV were introduced as a mean of transportation to address environmental problems like air and noise pollution. However\, their stringent design constraints\, especially on battery packs\, create challenges of limited driving range and battery lifetime for daily drivers and manufacturers. Design automation community has been addressing these by developing more efficient and dependable devices and control methodologies. Our contributions in this thesis will embrace: \n1) novel machine learning and physics-based modeling techniques to capture CPS dynamics more accurately; 2) unique optimization problem formulations to make optimal control decisions; and 3)intelligent control methodologies that leverage the modeling and interaction within CPS to achieve reliable and efficient operation. These contributions are applied to the systems in EV such as navigation system\, climate control\, and battery management system. Our objectives are to further extend the EV driving range and prolong the battery lifetime while maintaining similar driving experience and comfort for passengers. \n 
URL:https://www.cecs.uci.edu/event/reliable-and-energy-efficient-battery-powered-cyber-physical-systems/
CATEGORIES:PhD Defenses
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DTSTART;TZID=America/Los_Angeles:20180607T150000
DTEND;TZID=America/Los_Angeles:20180607T160000
DTSTAMP:20231011T190742Z
CREATED:20231011T190742Z
LAST-MODIFIED:20231011T190742Z
UID:14530-1528383600-1528387200@www.cecs.uci.edu
SUMMARY:Modeling and Co-Design of Multi-domain Cyber-Physical Systems
DESCRIPTION:Name: Jiang Wan \nDate: Friday\, June 1 \nTime: 3:00 — 5:00 PM \nLocation: EH 3206 \nCommittee: Fadi Kurdahi (Chair)\, Mohammad Al Faruque\, Rainer Doemer \nAbstract: \nCyber-Physical Systems (CPS) are integration of computation and physical processes connected through networks. The high complexity of cross-domain engineering in combination with the pressure for system innovation\, higher quality\, time-to-market\, and budget constraints make it imperative for engineers to use integrated engineering methods and tools for CPS design. However\, existing computer-based engineering tools are mainly focused on a particular domain and therefore it is challenging to perform system-level analysis for CPS due to the difficulty of knowledge integration from different domains. This thesis studies the problem in the modeling of cross-domain CPS. Problems in the modeling of both functional and non-functional requirements during CPS design are explored and a functional model-based approach is proposed for high level CPS modeling. Moreover\, targeting the security requirement in CPS\, which is one of the key non-functional requirements in CPS\, physics-based models and solutions are proposed in this thesis. \n 
URL:https://www.cecs.uci.edu/event/modeling-and-co-design-of-multi-domain-cyber-physical-systems/
CATEGORIES:PhD Defenses
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