This paper addresses the problem of dynamic quantized output feedback \(H_\infty \) control for nonlinear networked control systems (NCSs) under denial-of-service (DoS) attacks. A T-S fuzzy model is employed to approximate nonlinear dynamics subject to system uncertainties and external disturbances. To alleviate communication constraints, a dynamic quantizer is designed at the measurement output, while the random occurrence of DoS attacks on the transmission channel is modeled by a binary Markov chain. By applying the Lyapunov stability theory and linear matrix inequality (LMI) techniques, sufficient conditions ensuring the stochastic stability of the closed-loop systems are derived. The corresponding controller gains and quantizer parameters are then obtained through convex optimization. Finally, simulation results verify the effectiveness and robustness of the proposed control strategy.
