Huang, XiaotingYu, HuiXia, Xiaohua2023-03-232023-03-232023-03Huang, X., Yu, H., Xia, X.: Adaptive finite-time control of multi-agent systems with partial state constraints and input saturation via event-triggered strategy. IET Control Theory and Applications 17, 559–579 (2023). https://doi.org/10.1049/cth2.12402.1751-8644 (print)1751-8652 (online)10.1049/cth2.12402http://hdl.handle.net/2263/90177This paper focuses on the finite-time control problem of multi-agent systems with input saturation, unknown nonlinear dynamics, external disturbances and partial state constraints via output feedback. Fuzzy logic system and fuzzy state observer are introduced to approximate the uncertain nonlinearities and estimate the unmeasurable states, respectively. The partial state constraints are dealt with by using the barrier Lyapunov function, so that all states of the system do not exceed the preset boundary values. In order to reduce the computational complexity of the virtual controller and save communication resources, a first-order filter and an event-triggered mechanism are introduced, respectively. It is proved that the Zeno behavior does not occur via the proposed event-triggered controller. By stability analysis, the finite-time convergence of tracking error to a small neighborhood of the origin is proven. The effectiveness of the theoretical results is verified by examples.en© 2022 The Authors. IET Control Theory & Applications published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License.Finite-time controlMulti-agent systemsInput saturationOutput feedbackPartial state constraintsUnknown nonlinear dynamicsExternal disturbancesArticle