本文提出一种新的变结构自适应控制方法，并将其应用于航空发动机控制。
A new variable structure adaptive control scheme is proposed. The scheme consists of conventional model reference adaptive control and sliding mode control.
介绍了自适应回声消除器的基本结构及各个功能模块，例如：变阶数自适应滤波器，语音状态检测器，延迟分析器和NL MS算法控制器。
The structure of AEC as well as its composing modules, are introduced such as the speech detector, the adaptive filter, the time delay estimator and the NLMS algorithm controller.
滑模变结构控制是一种非线性控制方法，对系统的参数变化和扰动具有安全的自适应性。
Sliding mode variable structure (SMVS) is a nonlinear control method, which is adaptive to disturbance and parameter variations.
为了解决这一问题，许多其他的先进控制技术如自适应控制、模糊控制等也被综合应用到滑模变结构控制系统的设计中。
For this point, many advanced control theories, such as adaptive control and fuzzy control, have been applied to variable structure system to reduce the chattering.
针对机-电-液复合结构的四轮转向平台具有非线性、快时变的特点，提出了模糊自适应PID控制策略。
A fuzzy adaptive PID controller was proposed to be used in a four wheel steering platform.
首次提出了采用自适应神经模糊推理系统(ANFIS)建立全局负荷模型，描述电力负荷的非线性、变结构特性。
ANFIS (Adaptive Neural Fuzzy Inference System) is first presented to obtain the global load model for describing the nonlinear characteristics of the electric load in the paper.
应用变结构控制理论，引入模糊规则自适应地调整趋近律，设计了制导律。
Fuzzy logic rules are introduced to adjust approaching law adaptively, and the guidance is designed by applying variable structure control theory.
变结构多模算法是最有效的机动目标跟踪滤波算法，其核心是模型集自适应策略。
The variable structure multiple-model estimation filtering is the most effective approach for tracking maneuvering target, and the model set adaptation algorithm is the core of it.
应用一种变结构神经网络算法对初始化的模糊规则进行调整，提高模糊控制规则的自学习和自适应能力。
A kind of variable structure neural network algorithm is adopted to adjust fuzzy rules, and improves the ability of self-studying and self-adjusting in fuzzy control rules.
提出时变结构的GA在线自适应参数跟踪辨识方法。
Put forward an on-line adoption parameter tracing identification method using GA aiming at the time-varying structure.
本文主要将自适应控制、变结构控制与神经网络相结合，提出性能更优越的神经网络自适应变结构控制。
In this paper, adaptive control, sliding mode variable structure control and neural network are combined, a superior neural network adaptive variable structure control is introduced.
论文第二章提出了一种非线性优化网络“时变步长”修正模型，并较优地实现格型结构的自适应预测。
Theory of the adaptive filter by ANN is analysed , then a bond network is built to implement stable alternate structure adaptive filters for high speed real-time applications.
在此基础上将模糊PID和变论域思想想结合，形成变论域自适应模糊PID控制结构；
Another new intelligence control means - fuzzy logic adjusting PID online based on variable domain on self- adaptation is realized by putting the idea of variable domain into fuzzy PID.
控制算法采用变结构控制器，可根据系统误差及其变化率的大小自适应选择通断控制、模糊控制、积分控制等控制策略。
System control arithmetic adopts variable-structure-control, which can choose on-off-control and fuzzy-control and integral-control strategy automatically.
控制算法采用变结构控制器，可根据系统误差及其变化率的大小自适应选择通断控制、模糊控制、积分控制等控制策略。
System control arithmetic adopts variable-structure-control, which can choose on-off-control and fuzzy-control and integral-control strategy automatically.
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