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Real-time simulation using graceful degradation of accuracy

机译:使用精确度降低的实时仿真

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摘要

Real-time computer simulation is required in a number of applications, where the simulated dynamic systems are directly coupled with systems in the real world or with other systems also running in real-time. Typical problems of real-time simulations are that the dynamics of the modeled system are not represented in enough detail, either by not sampling the inputs or not producing output values frequently enough or both. Increasing the sampling frequencies may lead, as an additional problem, to real-time violations caused by insufficient computing power. The latter problem is amplified if the real-time is accelerated to achieve a kind of fast motion and reduce experiment times. In this paper, we show how the first problem can be solved by automatic frequency adjustment, minimizing the number of computations and how the remaining second problem can be reduced by trading a graceful degradation of accuracy against the computing power requirements automatically. Experiments show that simulation times could be reduced by a factor of 100 without unacceptable simulation errors.
机译:在许多应用中都需要实时计算机仿真,在这些应用中,仿真的动态系统直接与现实世界中的系统或也实时运行的其他系统耦合。实时仿真的典型问题是,通过不对输入进行采样或没有足够频繁地产生输出值,或者两者都不足够详细地表示建模系统的动力学。作为另一个问题,增加采样频率可能会导致由于计算能力不足而导致的实时违规。如果实时性得到加速以实现一种快速运动并减少实验时间,则后一个问题将被放大。在本文中,我们展示了如何通过自动频率调整来解决第一个问题,从而最大程度地减少计算量,以及如何通过针对计算能力要求自动折衷地降低精度来减少剩余的第二个问题。实验表明,仿真时间可以减少100倍,而不会出现无法接受的仿真错误。

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