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Zhang J.,Nanjing University of Science and Technology | Bo Y.-M.,Nanjing University of Science and Technology | Lu M.,Nanjing North Information Industry Group Ltd.
Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology | Year: 2010

Considering a class of networked control system with long time delays, and assuming that the system has output delays, the fault detection is carried out. Neural network prediction for the delay sampling value of the network control system make the control system with long time delays a control system without delay. The error equation of the fault observer is constructed based on a neural network prediction. The stability condition of this observer is proved. When the system is normal and the given inequality condition is satisfied, the observer system is stable. When a fault occurs, the observer residue can change rapidly and detect the occurrence of the fault. Finally, an illustrative example is given to demonstrate that the method here can well predict the network-induced delay time and detect fault of the network control system. Source


Zhang J.,Nanjing University of Science and Technology | Bo Y.,Nanjing University of Science and Technology | Lv M.,Nanjing North Information Industry Group Ltd. | Tao D.,Nanjing University of Science and Technology
Proceedings of 2010 International Conference on Intelligent Control and Information Processing, ICICIP 2010 | Year: 2010

Considering a class of networked control systems with long time delays, the fault detection is carried out when the control delays are present between the controller and the actuator. Firstly, a modeling approach of networked control system is presented, and the state estimate error equation is given by constructing the fault observer. And then, based on Lyapunov stability theory, a linear matrix inequation gives the stability condition of this observer. When the system is normal, if the given inequality condition is satisfied, the observer system is stable. When a fault is present, the observer residual can change rapidly and detect the occurrence of the fault. Finally, an illustrative example is given to demonstrate the effectiveness of the proposed method. © 2010 IEEE. Source


Zhang J.,Nanjing University of Science and Technology | Bo Y.-M.,Nanjing University of Science and Technology | Lu M.,Nanjing North Information Industry Group Ltd.
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | Year: 2010

Considering a class of networked control systems using wireless transmission between the controller and the controlled object with nonlinear models, the fault detection is carried out. Firstly, based on a T-S fuzzy model, the object is linearized. The fuzzy observer is designed and the error equation of the observer is given by using the fuzzy dominant subsystem rule. Secondly, the error equation is equivalent to the discrete switched system related to the hop count of the wireless transmission, and the stability of the error system is proved. Finally, a simulation is given to demonstrate the effectiveness of the proposed method. Source


Zhang J.,Nanjing University of Science and Technology | Bo Y.-M.,Nanjing University of Science and Technology | Lv M.,Nanjing North Information Industry Group Ltd.
Kongzhi yu Juece/Control and Decision | Year: 2011

Considering a class of networked control systems with long time delays, the fault detection is carried out with the presence of control delays and data packet dropout. Firstly, a modeling approach of the system is presented, and the fault observer is modeled as a stochastic switching discrete-time linear system with delay. Then, based on Lyapunov stability theory, a linear matrix inequation gives the stability condition of this observer. When the system is normal, if the given inequality condition is satisfied, the observer is stable. When a fault is present, the observer residual can change rapidly and detect the occurrence of the fault. Finally, an illustrative example shows the effectiveness of the proposed method. Source

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