在网络化控制系统(Networked Control Systems,简记为NCSs)中,由于网络的介入使控制系统的规模和复杂性显著增加,且产生了各种新问题,为了使控制更加容易,需要设计合理的估计策略。主要从控制和通信2个角度出发,集中考虑了在量化影响、时延与丢包、不确定性等通信受限因素下状态估计策略的研究与进展。一直以来,状态估计都是诸如过程监控、故障诊断等控制领域中不可缺少的重要部分,当前已成为网络化控制系统研究的热点和难点,为抵消网络环境不确定性对闭环系统性能的影响,设计最优的状态估计策略必将成为不可缺少的因素之一。
In networked control systems ( NCS), the scale and complexity of control systems increase obviously and there are many new problems due to the involvement of networks. In order to make the control easier, the rational estimation strategies are needed to design. From both control and communication standpoints, the state estimation strategy are considered under the communication constraint factors such as quantization effect, time delays and packet dropped, uncertainty et c. The state estimation is the essential and important part of control researches, including process monitoring, and fault detection etc. Resently, it becomes the hot spot and the difficulty of NCS research. And designing optimal state estimation strategy will become one of the essential factors for counteracting the performance effect of network environment uncertainty to the closed-loop system.