LAUSR

This paper examines the network-based dissipative and fuzzy observer control for wind generator systems (WGSs) by using time-dependent fuzzy Lyapunov–Krasovskii functional (LKF) approach. The main aim of this work is to design the desired dissipative and observer control gains. An effective time-dependent fuzzy LKF is constructed, and using a new mathematical analysis method dissipative and fuzzy observer controller performance are designed for wind generator systems. The results are represented in the form of linear matrix inequalities. Takagi–Sugeno fuzzy model-based algorithm is considered to increase the efficiency of the system and guarantee almost convergence. To show the effectiveness of the proposed novel method, simulations for WGS are provided.