Dynamic-Gain-Based Adaptive Fuzzy Control for Uncertain Delayed Non-triangular Switched Nonlinear Systems

This work studies the adaptive issue of nonlinear switched system with state delays. Different from the reported works, the research is more challenging since the system is in non-triangular form and has multiple uncertainties such as unmodeled dynamic, unknown parameters, and unknown coefficients. By presenting a dynamic-gain-based adaptive fuzzy regulation strategy, and constructing a novel Lyapunov–Krasovskii (L–K) functional, a new robust adaptive controller is successfully designed. The raised strategy is validated using a simulation example.