Adaptive control of a class of nonlinear systems with fuzzy logic
Adaptive control of a class of nonlinear systems with fuzzy logic
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DOI：
10.1109/fuzzy.1994.343834
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发表时间：
1994-06
期刊：
影响因子：
--
通讯作者：
C. Su;Y. Stepanenko
中科院分区：
文献类型：
--
作者：
C. Su;Y. Stepanenko
针对一类连续时间非线性动态系统，提出了一种自适应跟踪控制结构，该系统的动态不确定性的显式线性参数化是未知或不可能的.该架构采用模糊系统，这是表示为一系列扩展的基函数，自适应补偿植物的非线性。在李雅普诺夫意义下证明了该算法的全局渐近稳定性，跟踪误差收敛到零的一个邻域。一个不稳定的非线性植物的仿真结果表明，将人类专家的语言模糊信息的结果在上级跟踪性能。
An adaptive tracking control architecture is proposed for a class of continuous-time nonlinear dynamic systems, for which an explicit linear parameterization of the uncertainty in the dynamics is either unknown or impossible. The architecture employs fuzzy systems, which are expressed as a series expansion of basis functions, to adaptively compensate for the plant nonlinearities. Global asymptotic stability of the algorithm is established in the Lyapunov sense, with tracking errors converging to a neighborhood of zero. Simulation results for an unstable nonlinear plant are included to demonstrate that incorporating the linguistic fuzzy information from human experts results in superior tracking performance.>