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Incremental predictive control-based output consensus of networked unmanned surface vehicle formation systems

机译:基于增量预测控制的网络无人面车辆形成系统的产出共识

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This paper is concerned with the output consensus problem of networked unmanned surface vehicle (USV) formation systems under a leader-follower structure. First, a 3-degrees of-freedom motion model is established for USV systems subject to disturbances induced by wind and waves. Second, based on the motion model, both an incremental state observer and an incremental predictive controller are constructed to investigate the effects of network-induced delays and packet dropouts on the systems under study. Third, a novel incremental predictive control scheme is developed to ensure that the outputs of all USVs in the formation reach consensus asymptotically. Finally, an illustrative example is given to verify the effectiveness of the proposed incremental predictive control scheme for networked USV formation systems. (C) 2018 Elsevier Inc. All rights reserved.
机译:本文涉及领导跟随器结构下网络无人面车辆(USV)形成系统的产出共识问题。 首先,为USV系统建立3度的自由运动模型,其受风波诱导的扰动的影响。 其次,基于运动模型,构建增量状态观察者和增量预测控制器的增量模型,以研究网络引起的延迟和分组丢失对正在研究的系统的影响。 第三,开发了一种新型增量预测控制方案,以确保在地层中所有USV的产出达到渐近的共识。 最后,给出了一个说明性示例来验证网络USV形成系统所提出的增量预测控制方案的有效性。 (c)2018年Elsevier Inc.保留所有权利。

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