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Declarative cyber physical systems modeling to facilitate autonomous vehicles design

机译:声明性网络物理系统建模,以促进自动驾驶汽车设计

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Major challenges faced by connected intelligent vehicles, particularly autonomous vehicles, include complexity, dynamics, concurrency, timing, safety, security, and reliability. Among them, the complexity is the key factor for vehicle design. Cyber-physical systems (CPSs) are systems consisting of computational components and physical elements. In this paper a declarative CPS modeling framework is proposed such that autonomous vehicles can be articulately modeled to effectively overcome above challenges. A CPS is made up of sensing units in physical environment that input physical signals to control units, actuation units that alter the physical environment, and control units that sends optimized control signals to actuation units. The declarative CPS model can be used to unify the design of both cyber and physical components. This paper also compares the performance of two implementations of CPS sensing and actuation units: one using declarative networking, the other using imperative networking.
机译:互联智能车辆,尤其是自动驾驶车辆面临的主要挑战包括复杂性,动态性,并发性,时序,安全性,安全性和可靠性。其中,复杂性是车辆设计的关键因素。网络物理系统(CPS)是由计算组件和物理元素组成的系统。在本文中,提出了一个声明性的CPS建模框架,以便可以对自动驾驶汽车进行清晰的建模,以有效克服上述挑战。 CPS由物理环境中的传感单元组成,这些传感单元将物理信号输入到控制单元,更改物理环境的致动单元以及将优化的控制信号发送到致动单元的控制单元。声明性CPS模型可用于统一网络和物理组件的设计。本文还比较了CPS感应和驱动单元的两种实现方式的性能:一种使用声明式网络,另一种使用命令式网络。

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