Modelling and stability analysis of nonlinear networked control systems based on quasi T-S fuzzy model
Hong Zhang, Huajing Fang, Quanmin Zhu · International Journal of Modelling Identification and Control · 2015
This study presents a two-level quasi T-S fuzzy (QTS) model to represent nonlinear networked control systems (NCSs), which takes the performance of network with time-delay and data packet dropouts into the investigations. At the operation points of nonlinear NCS, the subsystem is regarded as linear system modelling by QTS, then the global model of nonlinear is fuzzy fused by linear subsystem. This study constructs the corresponding system model, in which the stability of the system is proved with linear matrix inequality (LMI). A nonlinear system is selected to demonstrate the feasibility and efficiency through numerical analysis. The study provides a new model of nonlinear NCS, and further research work can be done under this model, such as observer designing and fault diagnosis and tolerance control of nonlinear NCS.