Aiming at a class of nonlinear system, designs a kind of sliding mode neural network observer for fault detection and diagnosis.
针对一类非线性系统，设计了一种用于故障检测和诊断的滑模神经网络观测器。
With the presence of time-delay and packet dropout effects in the network, the problem of robust fault detection for a class of nonlinear networked control systems is investigated.
针对同时存在网络时延和数据包丢失的网络环境，研究了一类非线性网络控制系统的鲁棒故障检测问题。
The real-time attribution, fault detection and fault recovery, network security of industrial Ethernet were also discussed in this thesis.
研究并讨论将传统以太网移植到工业控制领域所必须解决的实时性、快速故障探测与自恢复、网络安全等关键技术问题。
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