• 本文提出一种新的结构适应控制方法,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.

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  • 指出模型控制一种结构自适应控制器,是“建模控制一体化”,冲破p、I、D线性框架束缚的产物

    The model free controller is a structure adaptive controller, which is a product of the approach of modeling and control unity and the concepts of PID and linear frame.

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  • 本文介绍丰田汽车适应雷达巡航控制系统结构适用情况以及相对普通巡航控制系统的优势

    This paper introduces the structure and usable condition of the self-adapting radar cruise control technology on TOYOTA and the advantages relative to the common cruise system.

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  • 介绍了适应回声消除器基本结构各个功能模块例如:变阶数自适应滤波器语音状态检测器延迟分析器NL MS算法控制

    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.

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  • 采用饱和标量函数构成非线性滑模建立直流伺服机器人控制系统适应结构数学模型

    Mathematical model of adaptive variable structure of control system for DC servo robot was established with nonlinear sliding mode formed with saturation type scalar functions.

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  • 船舶辅机结构为对象,运用模态分析方法适应算法,推导并分析了梁式结构振动主动控制的基本原理和方法。

    The active vibration control of the beam structure, which is used in the isolation of the ships auxiliary machines, is studied by using modal analysis method and adaptive algorithm in this paper.

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  • 滑模结构控制一种非线性控制方法系统的参数变化扰动具有安全的自适应

    Sliding mode variable structure (SMVS) is a nonlinear control method, which is adaptive to disturbance and parameter variations.

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  • 适应控制这样驱动器故障补偿方案一个合适选择能够适应系统参数结构环境不确定性

    Adaptive control, which is capable of accommodating system parametric, structural, and environmental uncertainties, is a suitable choice for such actuator failures compensation schemes.

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  • 介绍了因特网一种端到端的MPEG - 4视频网络传输结构适应码率控制方案

    This paper addresses an adaptive rate control scheme for MPEG-4 video based on an end-to-end architecture over Internet.

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  • 通过分析中轴结构奇异性之间关系,作者提出了基于中轴的自适应有限元模糊控制思想

    By analyzing the relationship of medial axis and structural singularity, we propose a new idea of medial axis based adaptive finite element fuzzy control.

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  • 智能结构因为具有响应适应判断优点已逐渐成为振动控制领域里研究热点

    Smart structures are being the focus in the study of vibration control due to its advantages of fast reaction, self-adapting, self-diagnosing and so on.

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  • 工艺控制模式解析数学模型分层递阶智能控制结构计算机仿真实验模型参数适应

    The models of technological control theory included: analytical mathematical model, multilevel intelligent control, and simulation experiment on computer and self-adaptation for model parameter.

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  • 提出一种基于步态规划分级结构自适应网络模糊推理系统控制策略方法需要确定双足机器人运动学动力学模型

    Proposed an adaptive network fuzzy inference system control strategy based on hierarchy structure of gait planning, which do not require detailed kinematics or dynamic biped models.

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  • 本文介绍一种采用单片机MCS - 51实现异步电机滑差频率矢量变换控制绕,分析设计了具有参数自适应补偿的系统结构

    This paper describes a slip frequency vector control system of induction motor using chip microcomputer MCS-51. A structure with parameter adaptive compensation is analysed and designed.

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  • 讨论具有确定性时滞仿射结构不确定系统的简易自适应控制问题。

    This paper proposes a simple adaptive control (SAC) system design approach for processes with uncertain time delay and Affine linear structured uncertainty.

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  • 提出一类基于神经元状态估计自适应广义极点配置控制,研究了控制系统的网络结构学习方法

    This paper presents a class adaptive pole assignment control of servo systems based on neural state estimation and develops the system structure and the weight learning algorithms.

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  • 通过控制系统简化分析,从理论上探讨结构适应主动控制系统棒性能及其最优实现问题。

    The results show that main progress has been made towards controlling structurally radiated noise by adaptive active means applied directly to the vibrating structure.

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  • 论述适应有源噪声控制设计原理实现方法给出了通用型自适应有源噪声控制器的硬件结构软件流程

    Design principle and implementation of an adaptive active noise controller is proposed in this paper. Hardware structure and software flow are given.

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  • 提出近似适应结构控制可以避免控制中的不连续继电项,同时不必已知系统不确定性范数界。

    Then, the normal variable structure controller (VSC) and the adaptive variable structure controller with the estimation for the upper norms of uncertainties are presented.

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  • 本文介绍适应神经模糊网络控制系统结构基础上重点介绍自适应神经模糊系统及其MATLAB实现

    This text has introduced the structure of the fuzzy network control system of adaptive nerve, and has recommended especially fuzzy system and MATLAB of the adaptive nerve are realized on this basis.

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  • 时间参数相位结构单点适应控制策略重要参数。

    Time parameters and phase scheme are important parameters for adaptive control strategies at isolated signalized intersections.

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  • 探讨用于运动控制神经元pid控制结构基于BP网络模糊自适应PID控制

    The structure of single neuron PID controller for motion control and the fuzzy adaptive PID control based on BP networks are researched on.

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  • 为了解决一问题许多其他的先进控制技术自适应控制模糊控制综合应用滑模结构控制系统设计中。

    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.

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  • 针对歼击机操纵结构故障,提出了一种基于自适应不对称高斯函数网络(agbfn)的可靠跟踪控制方案

    A reliable flight tracking control scheme is developed for a fighter in the presence of control surface failures based on adaptive asymmetric Gaussian basis function network (AGBFN).

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  • 文中提出基于模糊自适应学习控制(FALCON)结构新型混合学习控制策略。

    A new fuzzy adaptive learning control (FALCON), structure based mixture learning control is put forward in the paper.

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  • 针对现代航天器控制任务需求特点,基于航天器对象特征模型知识描述提出具有多层结构智能自适应控制系统概念。

    According to the requirements of modern spacecraft control, this paper presents a hierarchical intelligent adaptive control system based on the description of plant feature model knowledge.

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  • 采用自适应结构控制天线形变规律时候,可以大大降低结构重量使结构具有更高的形状精度

    When using smart structure to control the deformation of the antenna structure, the weight of the structure can be reduced obviously and the shape precision of the antenna can be improved greatly.

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  • 反馈学习算法基础将模糊逻辑和神经网络自适应控制结构结合在一起。

    The neural network-based adaptive control and fuzzy logic are integrated based on feedback learning algorithm.

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  • 反馈学习算法基础将模糊逻辑和神经网络自适应控制结构结合在一起。

    The neural network-based adaptive control and fuzzy logic are integrated based on feedback learning algorithm.

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