Adaptive asymptotic tracking of uncertain nonlinear systems with unknown hysteresis nonlinearity

Yong‐Hua Liu, Xiaoping Hu, Liangpei Huang
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引用次数: 4

Abstract

This paper deals with the problem of dynamic surface asymptotic tracking for a class of uncertain nonlinear systems preceded by a hysteresis input nonlinearity, where the hysteresis is described by the Bouc-Wen model. By utilizing the modified nonlinear filters and a positive time-varying integral function, a smooth adaptive controller is designed via dynamic surface approach, where the compensating terms with the estimate of unknown bounds are employed to eliminate the effects of given continuous functions on a certain compact, unknown hysteresis and external disturbance. It is shown that all the resulting closed loop signals are semiglobally bounded, and the output tracking error converges to zero asymptotically. Finally, simulation results are presented to validate the effectiveness of the proposed methodology.
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具有未知滞后非线性的不确定非线性系统的自适应渐近跟踪
研究了一类具有滞后输入非线性的不确定非线性系统的动态表面渐近跟踪问题,其中的滞后用Bouc-Wen模型来描述。利用改进的非线性滤波器和正时变积分函数,采用动态曲面法设计了光滑自适应控制器,该控制器采用带有未知界估计的补偿项来消除给定连续函数对一定紧致、未知滞后和外部干扰的影响。结果表明,所得到的闭环信号是半全局有界的,输出跟踪误差渐近收敛于零。最后给出了仿真结果,验证了所提方法的有效性。
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