Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an adaptive control scheme for a class of nonlinear systems.

针对一类非线性系统，把模糊t - S模型和自适应模糊逻辑系统这两种模糊逻辑方式结合起来，提出了一种自适应控制方案。

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The problem of adaptive stabilization for a class of nonlinear systems with unknown parameters both in state vector and control vector is studied.

研究一类含有系统扰动，并且状态项与控制项中同时含有未知参数的非线性系统的反馈稳定问题。

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A class of nonlinear neural network adaptive control systems is studied and a new design concept based on double errors was proposed in this paper.

本文研究一类非线性神经网络自适应控制系统，提出一种基于双误差——辨识误差和跟踪误差的新控制方案。

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