Error Transformation-Based Event-Triggered Adaptive Fuzzy Control for Interconnected Nonlinear Systems With Output Constraints

The control issue for interconnected nonlinear systems with asymmetric time-varying output constraints is the main focus of this study. The main works are as follows. Due to the lack of the affine component as a virtual control term, the mean value theorem is utilized to decompose the implicit function in the triangular structure of the systems. A novel feasible criterion is proposed to guarantee that the asymmetric time-varying constraint is not violated by demonstrating that the Lyapunov function is bounded. A new error-dependent transformation function is presented in order to include the boundary of asymmetric time-varying constraints in the process of designing a control strategy. At computational burden reduction of the interconnected nonlinear systems, the relative threshold event-triggered mechanisms are applied. Finally, a simulation example is presented to illustrate that the developed control method is effective.