Space-sampling-based fault detection for nonlinear spatiotemporal dynamic systems with Markovian switching channel

This technical note is devoted to investigating the fault detection problem for a class of nonlinear spatiotemporal dynamic systems. Initially, by using sector nonlinearity approach, the considered nonlinear systems are represented by an Takagi-Sugeno fuzzy model. Second, a new measure method, piecewise measure, is introduced to save the cost of system design. Furthermore, taking into account the switching network transmission channel, a mode-dependent asynchronous fuzzy diagnostic observer is constructed. Then, the sufficient conditions that guarantee the disturbance/control-inputs robustness and fault sensitivity are established to optimize the fault detection system's performance. Finally, a practical application (cooling fin of a high-speed aerospace vehicle) is given to illustrate the effectiveness of the developed diagnostic observer design strategy. (c) 2020 Elsevier Inc. All rights reserved.