In this paper, finite-time \({\mathcal{H}}_{\infty }\) control is studied for discrete-time Takagi–Sugeno (T–S) fuzzy systems. A dynamic model-based event-triggered mechanism (DMBETM) is utilized to monitor the data transmission from the plant to the controller, which reduces the amount of transmitted data more efficiently than conventional static mechanisms. First, it is demonstrated that the adopted DMBETM can avoid Zeno behavior and yield a larger minimal inter-execution time compared to the static model-based mechanism. Subsequently, an enhanced finite-time \({\mathcal{H}}_{\infty }\) performance criterion is proposed, by employing a new Lyapunov-like function that incorporates an internal dynamic variable. Finally, the finite-time \({\mathcal{H}}_{\infty }\) control of the closed-loop system is being investigated for a DC–DC boost converter.