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Multiple sliding mode observers and unknown input estimations for Lipschitz nonlinear systems

机译:Lipschitz非线性系统的多个滑模观测器和未知输入估计

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摘要

Multiple sliding mode observers for state and unknown input estimations of a class of MIMO nonlinear systems are systematically developed in this paper. A new nonlinear transformation is formulated to divide the original system into two interconnected subsystems. The unknown inputs are assumed to be bounded and not necessarily Lipschitz, and do not require any matching condition. Under structural assumptions for the unknown input distribution matrix, the sliding mode terms of the nonlinear observer are designed to track their respective unknown inputs. Also, the unknown inputs can be reconstructed from the multiple sliding mode structurally. The conditions for asymptotic stability of estimation error dynamics are derived. Finally, simulation results are given to demonstrate the effectiveness of the proposed method.
机译:本文系统地开发了用于一类MIMO非线性系统的状态和未知输入估计的多个滑模观测器。制定了新的非线性变换,将原始系统分为两个相互连接的子系统。假定未知输入是有界的,不一定是Lipschitz,并且不需要任何匹配条件。在未知输入分布矩阵的结构假设下,将非线性观测器的滑模项设计为跟踪它们各自的未知输入。而且,未知输入可以从多重滑动模式在结构上重建。推导了估计误差动力学的渐近稳定性条件。最后,仿真结果证明了该方法的有效性。

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