本文对AMFC(自适应模型跟踪控制)做了改进。
In this paper, an improvement on the Adaptive Model Following Control (AMFC) has been developed.
其主要特点是能够提供一个跟踪网络来辩识系统模型，进而确定控制器的网络参数，实现间接自适应神经网络控制。
Its major feature is that it can provide a tracing network to identify system model so as to determine the network parameters of the controller and realize an indirect adaptive neural network control.
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两种模糊逻辑方式结合起来，提出了一种基于观测器的跟踪控制方案。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an observer-based tracking control scheme for a class of nonlinear systems.
针对高精度机械伺服系统，提出一种高性能的新型自适应滑模控制方法，使闭环系统渐近跟踪给定的参考模型。
This paper presents a novel high-performance adaptive sliding mode control scheme for high precision mechanical servo systems to asymptotically track a specified reference model.
基于神经网络动态逆方法，给出了一种非线性模型参考自适应跟踪控制方案。
A plan of model reference adaptive tracking control for nonlinear systems is introduced based on neural network dynamic inversion (NNDI).
本文介绍带有未建模动态的倒立单摆非线性模型的全局自适应实际跟踪输出控制器的设计。
This paper introduces an adaptive practical output tracking control algorithm for inverted pendulum which is a nonlinearly parameterized system with unmodeled dynamics.
基于混合误差模型，采用滤波器降阶的方法，设计了一种高阶系统跟踪低阶参考模型的混合模型参考自适应控制方案。
On the basis of hybrid error model and adopting diminution order method by filter, an adaptive control scheme of hybrid model has been designed for high order system following the low order model.
提出了一种基于T - S模糊模型和自适应神经网络的跟踪控制方法。
A robust adaptive tracking control method is presented based on the fuzzy T-S model.
同时证明，对于已知有界参考输入，多模型自适应控制可以保证闭环系统输入输出稳定，输出渐进跟踪设定值。
To the known bounded reference input trajectory, it can be proved the closed-loop is BIBO stable, and the output will track the reference input asymptotically.
依据在线得到的特征模型参数，实现跟踪前馈控制律与黄金分割自适应反馈控制律相结合的控制器参数的在线调整。
With those identified parameters the tracking controller which consists of the forward tracking law and the golden-section adaptive feedback law is adaptively tuned.
针对一类复杂非线性系统，把模糊t - S模型和自适应模糊逻辑系统结合起来，提出了一种跟踪控制方案。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an observer-based tracking control scheme for a class of nonlinear systems.
针对一类复杂非线性系统，把模糊t - S模型和自适应模糊逻辑系统结合起来，提出了一种跟踪控制方案。
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.
针对一类复杂非线性系统，把模糊t - S模型和自适应模糊逻辑系统结合起来，提出了一种跟踪控制方案。
Combining fuzzy Takagi-Sugeno (T-S) model with adaptive fuzzy logic systems, we present a tracking control scheme for a class of complex nonlinear systems.
其中，模型逆基于悬停状态，基于神经网络的自适应控制律能够确保跟踪误差和控制信号的有界。
The model inversion is under the hover condition. And the adaptive control law based on the neural network is designed to guarantee the boundedness of tracking error and control signals.
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两种模糊逻辑方式结合起来，提出了一种基于观测器的跟踪控制方案。
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两种模糊逻辑方式结合起来，提出了一种基于观测器的跟踪控制方案。
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.
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