Abstract

This article presents time-dependent outputfeedback and state-feedback sampled-data control strategies for achieving both state and output reachability in permanent magnet synchronous generator-based wind turbine systems using a fuzzy approach. First, a nonlinear wind turbine model is represented as a set of fuzzy linear subsystems subject to bounded disturbances and parametric uncertainty. Unlike conventional sampled-data control schemes, a unified samplingtime- dependent fuzzy control framework is developed for both state-feedback and output-feedback cases. The framework varies across sampling periods and incorporates Bernoulli random packet dropouts, thereby forming a closed-loop system. Next, the fundamental Lyapunov component is modified by incorporating aperiodic sampling with various weighting levels. A samplingvariable- dependent discontinuous Lyapunov-Krasovskii functional, combined …

Date

2026

Authors

Nicholas Mehlman, Shrikanth Narayanan

Journal

IEEE Journal of Biomedical and Health Informatics

Publisher

IEEE