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Backstepping-based adaptive control for underactuated systems

机译:欠驱动系统的基于Backstepping的自适应控制

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摘要

A backstepping-based adaptive control scheme is presented for uncertain underactuated systems. On the basis of backstepping approach, virtual control components are first constructed and final control term is then derived by defining an integrated error surface. Proposed control scheme utilises wavelet neural network for the approximation of system uncertainties and thus relaxes the constraint of fully known system dynamics. Update laws for wavelet network parameters are derived in Lyapunov sense. Proposed control scheme guarantees the uniform ultimate boundedness of the closed loop adaptive system. Simulation included illustrates the effectiveness of the proposed approach.
机译:针对不确定的欠驱动系统,提出了一种基于反推的自适应控制方案。在后推方法的基础上,首先构建虚拟控制组件,然后通过定义集成的误差面来得出最终控制项。提出的控制方案利用小波神经网络来逼近系统不确定性,从而放松了众所周知的系统动力学的约束。小波网络参数的更新定律是从李雅普诺夫意义上推导出来的。所提出的控制方案保证了闭环自适应系统的一致的最终有界性。仿真包括了所提出方法的有效性。

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