汽车、列车、航空电子、工业自动化系统常常是分布式嵌入式系统，这种分布式特性导致CPS的设计需要考虑通信与控制协同设计。近年来，研究人员设计了单信道和双信道两类“仲裁网络控制系统(ANCS)”的特殊CPS平台体系结构。仲裁网络结构是ANCS的一种抽象，以关注ANCS的计算模型与通信系统建模与优化问题。在双信道仲裁网络结构中，存在时间相关的不确定时延问题、资源自适应动态供应强度问题、异构多核多位相节点的系统成本和性能优化问题、大规模异构系统集成无源性组合建模与优化问题等。本课题将排队论运用于双信道仲裁网络结构性能分析与优化中，分别用基于拟生灭过程的订单模型、批量到达的M/E4/c/K模型、多级排队网络模型、Jackson-PJN模型建模，构建最优化模型。将若干智能优化算法、数值计算与统计方法运用到系统模型求解，优化成本性能，得到系统参数最优值，以期排队模型在CPS的应用获得理论和方法上的突破。

Automobiles, trains, avionics, and industrial automation systems are often distributed embedded systems. This distributed feature leads to the design of CPS that needs to consider communication and control co-design issues. Recently, two special CPS platform architectures for both the single-channel and dual-channel arbitration network control systems (ANCS) are proposed. An arbitration network structure is an abstraction of ANCS to focus on the modeling and optimization of computing model and communication system on ANCSs. In the dual-channel arbitration network structure, there are time-dependent uncertain delay problems, resource adaptive dynamic provisioning strength problems, system cost and performance optimization problems for heterogeneous multi-core multi-phase nodes, and passive combination modeling and optimization problems for large-scale heterogeneous system integration, etc. In this project, the queuing theory is applied to the performance analysis and optimization of the dual-channel arbitration network structure. Aiming at the above problems, the optimization models are constructed by using the limited capacity order model based on the quasi-brth-death process, the M/E4/c/K queuing model with batch arrival, the multi-level queuing network model, and the Jackson-PJN model. Several intelligent optimization algorithms, numerical methods and statistical methods are applied to solve system models and optimize system cost and performance. The optimal values of the system parameters are obtained. The purpose of this research is to obtain theoretical and methodological breakthroughs in the queuing model and its application in CPSs.