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Model-based Physical System Deployment on Embedded Targets with Contract-based Design

机译:基于模型的基于嵌入式目标的物理系统部署,基于合同的设计

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Designing model-based physical systems has growing demand in consequence of increasing system complexity. In particular, observers/estimators are extensively used for the applications requiring state or disturbance estimation. Designing and deploying such numerically intensive physical systems onto embedded targets is a challenging task that requires co-design among various stakeholders from different technical backgrounds. The most important challenge is to obtain a numeric behavior of the estimator from an embedded target, that is able to represent the physical system states/disturbance with an acceptable error margin. Moreover, this error margin needs to be decided by the stakeholders, which makes the overall embedded deployment a co-design problem. The main contribution of this paper is to investigate the cause of the estimation error of an estimator that is deployed to embedded targets. This error is studied in the form of precision loss in addition to the error originating in the decreasing estimator measurement frequency for the embedded targets. We propose Assume-Guarantee (A/G) contracts to reconcile the viewpoints of the stakeholders, who reside at different abstraction levels. The feasibility of the proposed physical system deployment method is presented by utilizing a model-based virtual sensor estimator deployment for embedded targets as a case study.
机译:由于系统复杂性提高,设计基于模型的物理系统的需求不断增长。特别地,观察者/估计被广泛用于需要状态或干扰估计的应用。在嵌入式目标上设计和部署如此数量密集的物理系统是一个具有挑战性的任务,需要各种利益相关者之间的共同设计来自不同技术背景。最重要的挑战是从嵌入目标获得估计器的数值行为,这能够用可接受的误差余量表示物理系统状态/干扰。此外,这种错误保证金需要由利益相关者决定,使整体嵌入式部署成为共同设计问题。本文的主要贡献是调查部署到嵌入目标的估计误差的原因。除了嵌入目标的降低估计测量频率下的误差之外,还以精度损耗的形式研究了该错误。我们建议担保(A / G)合同,以协调居住在不同抽象层面的利益攸关方的观点。通过利用基于模型的虚拟传感器估计器部署来提出所提出的物理系统部署方法的可行性作为嵌入式目标作为案例研究。

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