A multi layer fuzzy CMAC adaptive control method based on an approximate model is presented in this paper for nonlinear discrete time systems.

针对非线性离散时间系统的控制问题，提出了一种基于近似模型的多层模糊CMAC自适应控制方法。

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This paper presents a hyperstable scheme for designing discrete model reference adaptive control system for lineartime-invariant SISO plant, based on a redefined augmented error signal.

本文经过重新定义增广误差信号，给出了有延时情况下线性时不变离散时间单输入单输出被控对象的模型参考自适应控制系统的超稳定性设计方法。

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There only exists delay inversion model in pure-delay discrete system which causes delay error when adaptive inverse control is used for canceling noise.

由于纯延迟离散系统仅存在延时的逆模型，因而对该系统进行自适应逆控制时，扰动消除会产生一定的延迟误差。

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