Observer-based fault detection for networked control systems with network Quality of Services
Observer-based fault detection for networked control systems with network Quality of Services
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DOI：
10.1016/j.apm.2009.09.014
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发表时间：
2010-06
影响因子：
5
通讯作者：
Chen Peng;D. Yue;E. Tian;Z. Gu
中科院分区：
文献类型：
--
作者：
Chen Peng;D. Yue;E. Tian;Z. Gu
研究了在有限网络服务质量（QoS）条件下，数据网络中线性定常系统的故障检测问题。提出了一个综合指标ηk来描述非理想QoS，该指标与数据丢失、网络诱导时延和差错序列有关，不同η k之间的概率切换服从齐次马尔可夫链。然后利用增广矩阵方法，将故障检测误差动态系统转化为马尔可夫跳变系统。基于该模型，利用MJS的有界真实的引理（BRL），以线性矩阵不等式（LMI）的形式建立了基于H∞扰动器的故障检测滤波器，以保证残差与加权故障之间的误差尽可能小.仿真算例表明了该方法的有效性。
This paper addresses the problem of the fault detection for linear time-invariant systems over data networks with limited network Quality of Services (QoS). An integrated index ηk, which related with data dropout, network-induced delay and error sequence, is presented to described the non-ideal QoS, the probabilistic switching between different ηkis assumed to obey a homogeneous Markovian chain. Then by view of the augmented matrices approach, the fault detection error dynamic systems are transferred to Markov jumping systems (MJSs). With the developed model and using the bounded real lemma (BRL) for MJSs, an H∞observer-based fault detection filter is established in terms of linear matrix inequalities (LMIs) to guarantee that the error between the residual and the weighted faults is made as small as possible. A simulation example is provided to show the effectiveness of the present methods.