Observer-Based Adaptive Event-Triggered H ∞ $$ {H}_{\infty } $$ Control for Nonlinear Networked Control Systems Under Hybrid Attacks and Its Application

This paper studies the design of an observer-based event-triggered $H_{\infty }$ controller for nonlinear networked control systems (NNCSs), utilizing the Takagi-Sugeno (T-S) fuzzy model to establish the system's nonlinear term. The influence of denial of service (DoS) attacks and deception attacks (DAs) is considered in the context of network communication processes. An improved adaptive event-triggered mechanism (AETM) is implemented within the sensor and observer channels to optimize the utilization of network communication resources. The issue of event-triggered delay is considered and resolved through the application of a piecewise Lyapunov functional and a free-weighting matrix approach. The sufficient conditions for the system to satisfy the linear matrix inequalities (LMIs) under the $H_{\infty }$ control performance index are given in the form of two theorems, ensuring the system's mean square asymptotically stable (MSAS). Finally, a grid-connected inverter (GCI) model is proposed, and the feasibility of the design method and its applicability in the actual system model is verified by simulation.