Coupled aircraft systematic theorem and analysis for nonlinear fuzzy systems

In this paper, we propose a coupled systematic reference model-related method for dynamic controller design of evolutionary processes to overcome the effects of model errors. To ensure a robust model, the stability criterion is directly proved by the Lyapunov method. NFA solves the problem based on a complex echolocation TS fuzzy model. Based on these standards and distributed control methods, the use of NFA is a cluster-based fuzzy control method for designing predictive signals and active controls. Finally, a numerical example is given in the presented results to show that the stability analysis can be applied to nonlinear responses and that the application of this principle depends on the precise degree of multi-degree-of-freedom (MDOF) vibration compensation. In addition to robust logic, control system effectiveness can also reduce risk in industrial applications.