Adaptive fuzzy control for strict-feedback canonical nonlinear systems with H/sub /spl infin// tracking performance.
Adaptive fuzzy control for strict-feedback canonical nonlinear systems with H/sub /spl infin// tracking performance.
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DOI：
10.1109/3477.891149
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发表时间：
2000-12
期刊：
影响因子：
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通讯作者：
Wei-Yen Wang;M. Chan;Tsu-Tian Lee;Cheng Liu
中科院分区：
文献类型：
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作者：
Wei-Yen Wang;M. Chan;Tsu-Tian Lee;Cheng Liu
针对严格反馈规范非线性系统，提出了一种自适应模糊控制器。考虑了系统的完全未知的非线性和扰动。由于模糊逻辑系统能以任意精度一致逼近非线性连续函数，本文应用自适应模糊控制理论，导出了具有未知非线性函数和干扰的严格反馈系统的控制律。此外，H/sub /spl infin//跟踪性能被应用于基本上衰减建模误差和干扰的影响。最后，通过仿真验证了所提方法的适用性。
In this paper, an adaptive fuzzy controller for strict-feedback canonical nonlinear systems is proposed. The completely unknown nonlinearities and disturbances of the systems are considered. Since fuzzy logic systems can uniformly approximate nonlinear continuous functions to arbitrary accuracy, the adaptive fuzzy control theory is employed to derive the control law for the strict-feedback system with unknown nonlinear functions and disturbances. Moreover, H/sub /spl infin// tracking performance is applied to substantially attenuate the effect of the modeling errors and disturbances. Finally, examples are simulated to confirm the applicability of the proposed methods.