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AssigneeMitsubishi Electric Research Laboratories, Inc.
InventorsVedang Deshpande, Ankush Chakrabarty, Christopher Laughman, Abraham Vinod
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To perform a task based on an internal state of a digital twin simulating an operation of a mechanical system, where at least some state variables of the internal states of the digital twin are subject to constraints derived from the physics of a structure of the mechanical system, a processor executes a neural network including an autoencoder trained to process a current internal state of the digital twin and a current control input to the mechanical system to produce a current output of the mechanical system caused by the current control input and an unconstrained next internal state of the digital twin transitioned from the current internal state based on the current control input, and a neural operator trained to modify the unconstrained next internal state of the digital twin to produce a constrained next internal state of the digital twin satisfying the constraints.
A method for performing a task based on an internal state of a digital twin simulating an operation of a mechanical system, wherein at least some state variables of the internal states of the digital twin are subject to constraints derived from physics of a structure of the mechanical system, wherein the method uses a processor coupled with stored instructions implementing the method, wherein the instructions, when executed by the processor carry out steps of the method, comprising:
A device for performing a task based on an internal state of a digital twin simulating an operation of a mechanical system comprising:
Dependencies are inferred from the claim text.