To investigate a class of nonlinear network control system, a robust fault diagnosis method is presented based on the robust state observer. To access the objective that the designed robust filter is maximally tolerant to disturbances and sensitive to fault, the robustness and stability properties o...

The fault detection problem for the nonlinear networked control system (NCS) with packet dropout and delay is investigated. A nonlinear stochastic system model is proposed to account for the NCS with random packet dropout and networkinduced non-uniformly distributed time-varying delay in both from s...

The paper presents the longitudinal control for the carrier-based unmanned aerial vehicle (UAV) system with unmeasured states, actuator faults, control input constraints, and external disturbances. By combining output state observer, adaptive fuzzy control, and constraint backstepping technology, a ...

This paper has proposed a fault detecting method for DC supplied permanent magnet synchronize motor (PMSM) drive systems by monitoring the drive DC input current. This method is based on the fault signal propagation from the torque disturbance on the motor shaft to the inverter input currents. The a...

In this paper, we propose the Hyper Basis Function (HBF) neural network on the basis of Radial Basis Function (RBF) neural network. Compared with RBF, HBF neural networks have a more generalized ability with different activation functions. A decision tree algorithm is used to determine the network c...