Distributed Decision Making and Control
Distributed Decision Making and Control
复制标题
分布式决策和控制
DOI：
10.1007/978-1-4471-2265-4
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
A. Rantzer
中科院分区：
文献类型：
--
作者：
Rolf Johansson;A. Rantzer
分布式决策与控制是对分布式控制、决策和多智能体系统中相关问题的数学处理，该研究报告是由最近大规模网络化和嵌入式系统和通信的快速发展推动的。这种系统日益复杂的主要原因之一是由计算和通信延迟引入的动态。处理能力和网络资源的可靠性、可预测性和有效利用是核心问题，需要本文提出的新理论和设计方法来分析和优化控制器、工厂和网络之间出现的复杂交互。该文本还有助于满足要求所产生的工业实践的一个更系统的方法来设计分布式控制结构和相应的信息接口理论协调许多不同的控制单元是密切相关的经济和博弈论网络的使用是由一个给定的路径的基于成本的定价。本文扩展了现有的方法，代表拉格朗日乘数的分布式优化的动态设置的定价机制。在分布式决策和控制中，主要主题是分布式决策和控制，为工程，经济和物流中复杂工程系统的控制提供一般理论和方法。这包括用于建模、分析和控制综合的可扩展方法和工具，以及使用网络嵌入式系统的可靠实现。学术研究人员和研究生在控制科学，系统理论，数学经济学和物流将发现MCU感兴趣的他们在这个集合，首先提出了口头的贡献者在一系列的讲习班组织在2010年春季由隆德中心控制复杂工程系统，林奈中心在隆德大学，瑞典。（减）
Distributed Decision Making and Control is a mathematical treatment of relevant problems in distributed control, decision and multi-agent systems, The research reported was prompted by the recent rapid development in large-scale networked and embedded systems and communications. One of the main reasons for the growing complexity in such systems is the dynamics introduced by computation and communication delays. Reliability, predictability, and efficient utilization of processing power and network resources are central issues and the new theory and design methods presented here are needed to analyze and optimize the complex interactions that arise between controllers, plants and networks. The text also helps to meet requirements arising from industrial practice for a more systematic approach to the design of distributed control structures and corresponding information interfaces Theory for coordination of many different control units is closely related to economics and game theory network uses being dictated by congestion-based pricing of a given pathway. The text extends existing methods which represent pricing mechanisms as Lagrange multipliers to distributed optimization in a dynamic setting. In Distributed Decision Making and Control, the main theme is distributed decision making and control with contributions to a general theory and methodology for control of complex engineering systems in engineering, economics and logistics. This includes scalable methods and tools for modeling, analysis and control synthesis, as well as reliable implementations using networked embedded systems. Academic researchers and graduate students in control science, system theory, and mathematical economics and logistics will find mcu to interest them in this collection, first presented orally by the contributors during a sequence of workshops organized in Spring 2010 by the Lund Center for Control of Complex Engineering Systems, a Linnaeus Center at Lund University, Sweden. (Less)