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Observer-Based Adaptive Fuzzy Sliding Mode Control of Uncertain Multiple-Input Multiple-Output Nonlinear Systems

机译:基于观察者的自适应模糊滑动模式控制不确定多输入多输出非输出非线性系统

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In this paper, the proposed observer-based robust adaptive fuzzy sliding mode control scheme can deal with the problem of robust stability for a class of uncertain multi-input multi-output (MIMO) nonlinear systems whose states are not available. The fuzzy basis function is used to approximate an unknown nonlinear function according to some adaptive laws, and then the state observer is designed for estimating the states of the plant, upon which a adaptive fuzzy sliding mode controller is investigated. Based on the Lyapunov stability theorem and the theory of variable structure control, the proposed robust adaptive fuzzy sliding mode control scheme can guarantee the robust stability of the whole closed-loop system and obtain good tracking performance. Finally, the simulation results are carried out on a two-link robot manipulator to illustrate the performance of the proposed approach.
机译:在本文中,所提出的基于观察者的鲁棒自适应模糊滑模控制方案可以解决一类不确定的多输入多输出(MIMO)非线性系统的鲁棒稳定性的问题。模糊基函数用于根据一些自适应法则近似未知的非线性功能,然后设计用于估计工厂的状态的状态观察者,在该状态下研究了自适应模糊滑动模式控制器。基于Lyapunov稳定性定理和可变结构控制理论,所提出的鲁棒自适应模糊滑模控制方案可以保证整个闭环系统的稳定稳定性,获得良好的跟踪性能。最后,仿真结果是在双链路机器人机械手上进行的,以说明所提出的方法的性能。

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