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GENERATING MODELS FOR REAL TIME EMBEDDED SYSTEMS THAT APPROXIMATE NON-EMBEDDED MODELS WHILE REDUCING COMPLEXITY ASSOCIATED WITH THE NON-EMBEDDED MODELS
GENERATING MODELS FOR REAL TIME EMBEDDED SYSTEMS THAT APPROXIMATE NON-EMBEDDED MODELS WHILE REDUCING COMPLEXITY ASSOCIATED WITH THE NON-EMBEDDED MODELS
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机译：实时嵌入式系统的生成模型，它们在降低与非嵌入式模型相关联的复杂性时可以近似非嵌入式模型
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摘要
Generation of models in real time embedded systems that approximate non-embedded models while reducing a complexity associated with the non-embedded models is provided herein. A system can comprise a memory coupled to a processor. The memory stores executable components executed by the processor. The executable components can comprise an evaluation manager component that identifies an input parameter of a first model based on a defined output parameter of the first model and a relation manager component that determines one or more relations in the first model. Relations of the one or more relations can comprise an intermediary parameter determined based on the input parameter and the defined output parameter of the first model. Further, the system can comprise a model generator manager component that generates a second model that approximates the first model and includes a replication of the one or more relations of the first model.
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