基于输入输出方法的事件触发网络化随机系统的分析与控制

Following the rapid development of the computing theory and network technology, networked control systems (NCSs) have drawn great attention of many researchers as a new cutting-edge research topic, because it has been noted that the networked control systems possess many great advantages over traditional systems. Though networked control systems have found successful applications in large amount of modern scientific areas, the research priorities are so far mainly to the deterministic systems. As a result, the researches about some complicated networked control systems which is widely used in actual engineering are relatively rare. Meanwhile, in order to overcome the limitations of the traditional periodic sampling control method, a new event-triggering control approach is proposed, which could reduce the unnecessary wast of the limited bandwidth and distribute the resources of the systems much proper. But due to the complexity of the modeling and analyzing of network-induced stochastic phenomena and the event-triggering scheme, many traditional approaches meet difficulties when developed to networked control systems, which leads to that a great deal of issues with limited capacity channel are rather cutting-edge and challenging. This project aims to model the networked-induced stochastic phenomena and event-triggering scheme, and take advantage of an input-output approach based on scaled small gain theory (SSG) with much less conservatism to analyze the networked control systems with event-triggering scheme. Based on the achieved results, this project finally aims to establish a new research framework and theory on stochastic networked control systems with event-triggering scheme, and extend the applications of the results to the remote control of industrial robot and other actual engineering.

近十几年来，随着网络技术以及计算机应用技术的迅猛发展，网络化控制系统作为一个崭新的前沿性课题受到越来越多的关注。然而目前的研究重点仍然主要是针对确定性系统，对于实际工程中出现的复杂网络化随机系统的研究相对较少。同时，为了克服周期采样控制方法的缺点，一种既可以节省能量，又能更加合理的分配以及使用网络环境下有限的资源的控制方法，即事件触发控制被提出。但因其数学建模以及分析更加复杂，这类随机系统的研究面临着许多崭新的挑战。为此，本项目将利用保守性更低的基于小增益定理的输入输出方法，针对事件触发网络化随机系统展开数学建模、性能分析、控制器以及滤波器设计等问题的研究。基于前期已经取得的成果，本项目最终有望在完善现有理论的基础上，通过创新研究架构与方法，建立一套保守性更低的关于基于事件触发机制的网络化随机系统的理论体系，并且提高网络化事件触发控制系统在实际工程中的建模以及应用能力。

随着网络技术以及计算机应用技术的迅猛发展，网络化控制系统作为一个崭新的前沿性课题受到越来越多的关注。然而目前的研究重点仍然主要是针对确定性系统，对于实际工程中出现的复杂网络化随机系统的研究相对较少。同时，为了克服周期采样控制方法的缺点 ，一种既可以节省能量，又能更加合理的分配以及使用网络环境下有限的资源的控制方法，即 事件触发控制被提出。但因其数学建模以及分析更加复杂，这类随机系统的研究面临着许多崭新的挑战。..在三年的研究工作中，本项目利用保守性更低的基于小增益定理的输入输出方法，针对事件触发网络化随机系统展开数学建模、性能分析、控制器以及滤波器设计等问题的研究。基于前期已经取得的成果，本项目在完善现有理论的基础上，通过创新研究架构与方法，建立了一套保守性更低的关于基于事件触发机制的网络化随机系统的理论体系，并且提高网络化事件触 发控制系统在实际工程中的建模以及应用能力。