控制理论(社会学)
国家(计算机科学)
集合(抽象数据类型)
级联
计算机科学
理论(学习稳定性)
班级(哲学)
控制(管理)
数学
算法
人工智能
工程类
机器学习
化学工程
程序设计语言
作者
Congzhi Huang,Yan Bai,Xiangjie Liu
标识
DOI:10.1109/tii.2009.2033589
摘要
Based on practical industrial process control, a typical configuration for networked cascade control systems (NCCSs) is analyzed. This kind of NCCSs with state feedback controllers, in which the network-induced delay is uncertain and less than a sampling period, is studied. The sufficient condition for the stabilizability of the NCCSs without disturbances is proposed, and the state feedback stabilization control laws are derived via Lyapunov stability theory and linear matrix inequality (LMI) approach. For the NCCSs with disturbances, the criterion of its robust asymptotically stability is derived and the ¿ -suboptimal state feedback H ¿ control laws are designed. The ¿-optimal state feedback H ¿ control laws are also put forward by optimizing a set of LMIs. A simulation example of a NCCS for the main steam temperature in a power plant is given to demonstrate the effectiveness of the proposed approaches.
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