Design of Robust Distributed Control Schemes with Applications to Multi-Agent Systems
鲁棒分布式控制方案设计及其在多智能体系统中的应用
基本信息
- 批准号:262127-2012
- 负责人:
- 金额:$ 2.4万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2016
- 资助国家:加拿大
- 起止时间:2016-01-01 至 2017-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The problem of controlling an interconnected large-scale system by means of structurally constrained controllers is considered in this proposal. In many physical systems such as sensor networks, power systems, coordinated motion of automated vehicles and traffic networks, the interacting subsystems are geographically dispersed. Usually, traditional centralized control for this type of system is not as efficient, due to the distributed nature of the network and also the complexity of the required on-line computations. Furthermore, continuous transmission of data from the subsystems to the controller and vice versa is typically expensive. Another obvious disadvantage of such structure is that the resultant closed-loop system has a single point of failure. In a distributed control structure, on the other hand, one can generate the control input of each subsystem by only concentrating on those outputs which have a relatively high impact on the corresponding subsystem (through interconnections). This reduces the complexity of the computations, and at the same time improves the efficiency of the control topology.
该方案考虑了用结构约束控制器控制关联大系统的问题。在传感器网络、电力系统、自动车辆协调运动和交通网络等许多物理系统中,相互作用的子系统在地理上是分散的。通常,由于网络的分布式性质以及所需的在线计算的复杂性,这类系统的传统集中控制效率不高。此外,数据从子系统到控制器的连续传输通常是昂贵的,反之亦然。这种结构的另一个明显缺点是,由此产生的闭环系统具有单点故障。另一方面,在分布式控制结构中,可以通过仅集中于对相应子系统具有相对较高影响的那些输出(通过互连)来生成每个子系统的控制输入。这降低了计算的复杂性,同时提高了控制拓扑的效率。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Aghdam, Amir其他文献
Aghdam, Amir的其他文献
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{{ truncateString('Aghdam, Amir', 18)}}的其他基金
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$ 2.4万 - 项目类别:
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