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机构地区:[1]东北大学理学院,辽宁沈阳110819 [2]沈阳工业大学理学院,辽宁沈阳110870
出 处:《东北大学学报(自然科学版)》2014年第3期305-308,共4页Journal of Northeastern University(Natural Science)
基 金:国家自然科学基金资助项目(61074029;61104093;61273008)
摘 要:研究了基于时变采样周期网络控制系统的H∞控制问题.考虑数据丢包个数有界且符合一个有限状态的Markov链,设计状态反馈控制器,将具有网络时延和丢包的NCSs建模为Markov跳变系统.针对数据丢包的信息难以精确获得的情况,即转移概率部分已知时,基于李雅普诺夫方法,给出系统随机稳定且具有H∞范数界γhkj的充分条件.基于LMIs技术,获得控制器设计方案.数值实例表明该方法是有效的并具有较好的H∞性能.The H∞ control problem for networked control systems(NCSs) based on time-varying sampling periods was studied. Since the successive packet-dropouts were driven by an independent finite Markov chain, the NCSs with the networked-induced delays and packet-dropouts were modeled as Markov jump systems by designing the state feedback controller. Aiming at the fact that the packet dropout information was hard to be obtained accurately, namely it did not need to know the transition probabilities completely, the sufficient condition for stochastic stability with H. norm bound γhkj was presented on the basis of Lyapunov method. The stabilizing controller was constructed in terms of linear matrix inequalities (LMIs). The results of the numerical examples demonstrated the H∞ performance better than the existing methods.
关 键 词:网络控制系统 H∞控制 时变采样周期 转移概率部分已知 李雅普诺夫方法
分 类 号:TG335.58[金属学及工艺—金属压力加工]
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