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一种基于神经内分泌免疫系统的智能网络控制系统架构

Novel Structure of Intelligent Network Control System Inspired from Neuroendocrine-Immune System

中文摘要英文摘要

基于神经内分泌免疫系统(NEI)的调节机制,提出一种新颖的分布式生物网络控制系统(DBNCS)。该DBNCS包括四层结构:第一层对应与免疫系统,主要有多个基于NEI超短反馈机制设计的嵌入式传感/控制实体(ETCU)组成,每个ETCU可以看作为具有自我意识、自组织和自管理智能的Agent。第二层由对应于内分泌系统的多个Agent工作站(EWS)组成,负责协调第一层中ETCU的控制作用。每个EWS可以认为是通过分泌激素来调节免疫系统活性的内分泌腺体。第三、四层对应于中枢神经系统。第三层由Web服务器和多个管理服务器(NMS)组成,并提供对BDNCS中所有实体访问、管理。这些NMS,可称为高级优化服务管理实体,并负责优化第二层中EWS的协调信号。第一、二层反馈给NMS的信息,包括从第二层到第一层的协调信号、所有ETCU和EWS的状态信号和过程变量等。通过综合分析这些反馈信息,NMS能够优化第二层中的EWS的协调作用,从而使ETCU的控制作用得到优化。第三层也负责平衡网络负载,保持网络内部稳定。第四层由许多Internet上的远程网络计算机(RNPC)组成,通过防火墙与网络内部实体进行安全通讯。操作员和工程师可以远程监控BDNCS中所有实体的状态,并可以远程调整控制参数或维护管理。该DBNCS具有整体协作性、双向调节、复杂反馈和无延迟现场控制及远程优化等,它提供一种研究基于Intenet的网络控制系统的方法。

Based on the modulation mechanism of neuroendocrine-immune (NEI) system, we present a novel distributed bio-network control system (DBNCS). The DBNCS includes four levels. The first level is corresponding to immune system, and is composed of some embedded transmitter-controller units (ETCU), which are designed based on the ultra-short loop feedback mechanism of NEI. Every ETCU can be regarded as an agent with intelligence of self-awareness, self-organization, and self-reconfiguration. The second level is corresponding to endocrine system, and is composed of several agent-based work stations. The agents in the second level, regarded as endocrine glands, are responsible for coordinating the control activity of field-agents in the first level. The third level and fourth level are corresponding to central nervous system. The third level is composed of Web server and several manage servers, and provides Web service that accesses to all the entities in the DBNCS. The manage server, noted as lead-agent, manages all the agents in the first level and the second level. The fourth level is composed of some remote computers on Internet. The operators and engineers can monitor the process and the state of all the entities in DBNCS, and adjust the control parameters remotely. The DBNCS has several characteristics, i.e. entire harmony, bi-regulation, complicated feedback, no-delay field-control, and remote network optimization. The DBNCS provides a novel method for the study on Internet-based network control system.

丁永生、王君红、刘宝

自动化技术、自动化技术设备生物工程学自动化基础理论

神经内分泌免疫,网络控制,分布式控制

neuroendocrine-immune network control distributed control.

丁永生,王君红,刘宝.一种基于神经内分泌免疫系统的智能网络控制系统架构[EB/OL].(2008-04-25)[2025-08-05].http://www.paper.edu.cn/releasepaper/content/200804-946.点此复制

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