Controller design for a class of nonlinear networked control systems

For a class of nonlinear networked control systems, a novel type of adaptive fuzzy sliding mode control (SMC) method for solving the dynamic model with network-induced delays, nonlinear and uncertain parameters is proposed in this paper. A systematic sliding mode control scheme, which integrates a time-advanced non-linear predictor, is proposed to compensate for the network-induced delay. Then, an adaptive fuzzy system is used to approximate nonlinear dynamics model. Following that, the designed adaptive algorithms are developed based on the Lyapunov stability theorem, so that system-tracking stability can be guaranteed. Finally, an example of flexible spacecraft attitude control is applied to show the validity of the controller, and the simulation results show that, with the application of the proposed method, high-precision attitude stabilization of spacecraft is achieved, and the system is robust against system uncertainties, network-induced delays and any outer disturbances.