Takagi-sugeno fuzzy-model-based fault detection for networked control systems with Markov delays
Takagi-sugeno fuzzy-model-based fault detection for networked control systems with Markov delays
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DOI：
10.1109/tsmcb.2005.861879
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发表时间：
2006-08
期刊：
影响因子：
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通讯作者：
Ying Zheng;H. Fang;Hua O. Wang
中科院分区：
文献类型：
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作者：
Ying Zheng;H. Fang;Hua O. Wang
采用Takagi-Sugeno（T-S）模型描述了具有不同网络诱导时延的网络控制系统。与现有的网络控制系统建模方法相比，该方法不需要知道网络诱导时延的精确值。相反，它解决了涉及所有可能的网络引起的延迟的情况。此外，这种方法还处理数据包丢失。作为T-S建模方法的应用，提出了基于奇偶方程和基于模糊观测器的网络控制系统故障检测方法。最后以两连杆倒立摆为例说明了所提方法的实用性和可行性
A Takagi-Sugeno (T-S) model is employed to represent a networked control system (NCS) with different network-induced delays. Comparing with existing NCS modeling methods, this approach does not require the knowledge of exact values of network-induced delays. Instead, it addresses situations involving all possible network-induced delays. Moreover, this approach also handles data-packet loss. As an application of the T-S-based modeling method, a parity-equation approach and a fuzzy-observer-based approach for fault detection of an NCS were developed. An example of a two-link inverted pendulum is used to illustrate the utility and viability of the proposed approaches