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ABSTRACT This article investigates the prescribed‐time output consensus (PTOC) of heterogeneous multiagent systems (MASs) using sampled data. First, a novel dynamic compensator is designed for each agent, with its state used for interactions with neighboring agents. A hybrid sampling strategy (HSS) is then developed, combining dynamic event‐triggered sampling (ETS) and time‐triggered sampling (TTS) to determine when to sample and broadcast the compensator states. The execution of the HSS occurs in two stages: initially, a dynamic ETS is used before the first prescribed time (PT), with a dynamic threshold that decays to zero as the first PT approaches. Following this, a TTS with a constant sampling period (CSP) is introduced after the first PT. The proposed HSS ensures that all compensators achieve state consensus at the first PT while preventing Zeno behavior. Leveraging these dynamic compensators and the HSS, a fully distributed controller with high scalability and flexibility is developed. Through Lyapunov stability theory, it is proven that the heterogeneous MASs, under the proposed controller, achieve output consensus at the second PT, which occurs after the first PT. Finally, a numerical simulation involving eight agents is conducted to verify the validity of the theoretical results.
Li et al. (Tue,) studied this question.