Robust and Optimal Control of Physical Systems with Networked Communication Structures

具有网络通信结构的物理系统的鲁棒和优化控制

• 批准号: RGPIN-2014-05235
• 负责人: Chen, Xiang
• 金额: $ 2.7万
• 依托单位: University of Windsor
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=647407
• 关键词: Robust; Optimal; Control; Physical; Systems

There is no doubt that we are in a networked world right now. Many physical, virtual, or hybrid (mixed physical and virtual) systems operate, communicate, or are controlled through different kinds of network structures, wireless or wired. Examples can be given as: internet systems, electric power grids, automotive systems, various sensor networks, etc. The common nature of these networked systems is that they are exhibited as both dynamical systems and networks, i.e., carrying the features of both dynamical systems and networks which brings in both advantages (such as cost reduction for wiring and maintenance, enhanced flexible functions at both system and network levels, etc.) and challenges (such as increased complexities in the interaction among systems or system components, time-sensitive performance compromise due to networked communication, etc. ). For example, on the advantage side, people have seen tremendous reduction of the wiring costs in every automobile nowadays by adopting the Controller Area Network (CAN) bus for critical applications such as engine control and the Local Interconnected Network (LIN) bus for noncritical applications such as power window/seat control; on the challenge aspect, on the other hand, it has already been realized that the networked communication of data among distributed sensors, controllers, and underlying plant systems tends to downgrade the transient dynamical performance of the controlled systems which, if not carefully addressed, could result in the instability of the whole systems. It has been identified that the challenge posed by the communication network is of great interest to many practical time-sensitive industrial systems such as electric power grids, automotive engine control systems, and sensor network, etc. Although this challenge has been attacked in great number of published literature most recently, many important questions remain open, for example, so far one still does not know how to design a controller that could simultaneously address quantizing and noise effects in the network communication channels and regulate the various desired dynamical behaviors of the controlled target systems. Also, some important questions, such as what the networked communication means to the performance of multi-agent systems, how the networked communication would affect the performance of estimation in distributed control systems, and how the networked communication affect the performance of control systems with both time and event-triggered mechanism, etc., still remain untouched, yet these questions are on top of the `most-wanted' list in various industries. In this Discovery Grant proposal, the focus will be on developing systematic design tools to address the time-sensitive performance in physical control systems with networked communication structure. In particular, it is argued that the information theory and control theory should be integrated to generate conceptually new methods to address the said problems and to design robust and optimal control and management mechanisms for the networked dynamical systems. It is also argued that the methods developed would be industrial needs oriented and hence would find their way to be friendly applied in practice.

毫无疑问，我们现在正在一个网络世界中。许多物理，虚拟或混合（混合物理和虚拟）系统通过不同类型的网络结构（无线或有线）进行操作，通信或控制。示例可以以：互联网系统，电力网格，汽车系统，各种传感器网络等。这些网络系统的共同性质是它们以动力学系统和网络的形式展示，即具有两个动力学系统的功能以及带来两者优势的网络（例如，接线和维护的成本降低，系统和网络级别的灵活功能增强）和挑战（例如，系统或系统组件之间的交互作用增加了复杂性，时间敏感性的性能，由于网络通信等，妥协）。例如，在优势方面，通过采用控制器区域网络（CAN）总线来进行关键应用，例如发动机控制和本地互连网络（LIN）总线，人们已经看到每辆汽车中每辆汽车的布线成本的巨大降低例如电动窗/座椅控制；在挑战方面，另一方面，已经意识到，分布式传感器，控制器和基础工厂系统之间数据的网络通信倾向于降低受控系统的瞬时动态性能，如果不仔细地解决，该系统可以导致整个系统的不稳定。已经确定，通信网络提出的挑战对许多实用的时间敏感工业系统（例如电力网格，汽车发动机控制系统和传感器网络等）引起了极大的兴趣。尽管这一挑战已受到了极大的攻击在最近发表的文献中，例如，许多重要的问题仍然开放，例如，到目前为止，人们仍然不知道如何设计一个可以同时解决网络通信渠道中量化和噪声效应的控制器，并调节受控的各种所需的动态行为目标系统。此外，一些重要问题，例如网络通信对多代理系统的性能意味着什么，网络通信将如何影响分布式控制系统中估计的性能以及网络通信如何影响控制系统的性能，而控制系统的性能都时间和事件触发的机制等仍然没有受到影响，但是这些问题位于各个行业的“最终”列表之上。在此发现赠款提案中，重点将放在开发系统的设计工具上，以解决具有网络通信结构的物理控制系统中时间敏感性的性能。特别是，应该集成信息理论和控制理论以生成概念上的新方法来解决上述问题，并为网络动力学系统设计强大，最佳的控制和管理机制。还认为，开发的方法将是面向工业需求的，因此找到了在实践中友好应用的方式。