Digital Twins for Distributed Intelligent Sensing and Control Systems

Lesage, Jonathan; Brennan, Robert W.

doi:10.1007/978-3-030-99108-1_9

Cited by 3 publications

(2 citation statements)

References 28 publications

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“…Digital twins can also be used to estimate the internal system state and attempt to understand and react to beyond design control scenarios. Digital twins can simulate system operation, and ML can utilize the simulation to optimize or reconfigure a control system, as required, or even to recover from faults when they occur [76]. Digital framework and workflow models can be developed for optimally controlling IES in real-time, based on the system state and desired outcomes [77].…”

Section: During Plant Operationsmentioning

confidence: 99%

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Integration of Control Methods and Digital Twins for Advanced Nuclear Reactors

Rashdan

Farber

Coelho

et al. 2022

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Advanced nuclear reactors offer a new set of features to energy generation, due to their ability to adapt to variable energy demand, operate autonomously, be deployed in rural locations and monitored remotely, afford compact size and lower power ratings, and rely on novel technologies to achieve safer operations. Thus, a requirement for the success of these reactors is the use of intelligent forms of control to track changing power demands, make autonomous decisions, and reduce the need for human involvement. vii

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Section: During Plant Operationsmentioning

confidence: 99%

“…Control systems that stand to benefit from interactions with digital twins have also been encountered. Although these works have begun to pave the way for the use of digital twins in control systems, the literature still reflects a great need for contributions toward interfacing them [76].…”

Section: During Plant Operationsmentioning

confidence: 99%