• 设计自校正PID调节器的方法多种

    There are many methods to design self-tuning PID controllers.

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  • 提出一种改进校正动态矩阵控制算法

    An improvement self tuning dynamic matrix control algorithm is proposed in this paper.

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  • 首先提出自校正调节器的一种近似算法

    First, an approximation algorithm for self-tuning regulator is suggested.

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  • 介绍一种自校正适应控制器控制算法

    This paper introduces a control algorithm for self-tuning adaptive controller.

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  • 本文提出了一种新的多变量自校正前馈控制器

    In this paper, a new multivariable self-tuning feedforward controller is presented.

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  • 介绍了自校正技术高精度测试系统中的应用

    The application of auto-correction technology in high precise testing system is presented.

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  • 本文介绍了一种自校正适应控制器控制算法

    This paper introduced a control algorithm for self-tuning adaptive controller.

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  • 基于模糊数学理论设计了校正PID调节器

    A kind of self -tuning PID regulator based on fuzzy mathematics theory is introduced.

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  • 本文给出了一种简单极点配置自校正预测控制器

    In this paper, a simple pole assignment self-tuning predict controller is introduced.

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  • 论述了PID自校正预测控制器一种简单设计方法

    A simple design method of PID self-tuning predict control is given.

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  • 它们统一处理校正状态融合滤波平滑预报问题

    They can handle the fused filtering, smoothing and prediction problems in an unified framework.

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  • 本文提出一种新型广义极点自校正预报控制算法

    Kind of Generalized Pole Assignment Self-tuning Predictive Controller Algorithm is proposed.

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  • 本文提出了一种简单多变量极点配置自校正解耦控制器。

    In this paper, a simple multivariable decoupling pole assignment self-tuning con-troller has been presented.

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  • 本文讨论光导纤维拉丝过程校正控制系统设计实现

    This paper discusses the design and realization of self-tuning control system for an optical fiber drawing process.

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  • 本文研究了车辆主动适应校正控制策略算法

    This paper presents the adaptive and self - tuning control strategy and algorithms for vehicle suspension design.

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  • 控制器知识分层实现态逻辑,模式识别自校正控制

    The controller implemented temporal-logic, pattern-recognized and self-tuning control according to knowledge division level.

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  • 同时又设计了模糊校正控制进一步提高控制系统控制品质

    At the same time the fuzzy correct control is actualized to further improve the character of.

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  • 在充分考虑了电路实现误差的存在,给出了误差校正电路。

    Because of the error due to the circuit implementation, we also designed the error self-calibration circuit.

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  • 本文提出具有参考模型广义最小方差鲁棒校正控制算法

    A kind of generalized least square error robust self tuning controller algorithm with model reference is proposed.

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  • 通过引人恒等变换,推导出系统辅助系统自校正预报模型

    By introducing double constant alterations, we establish self-tuning predictive models of system and auxiliary system.

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  • 本文最小方差自校正调节器超高压汞灯控制中的应用做了研究

    The application of STR is investigated in the light intensity regulating system of superhigh pressure mercury-arc lamp.

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  • 算法其它自校正PID控制算法相比具有适用范围广特点。

    This algorithm is with wider application range compared with the other self-tuning PID control algorithms.

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  • 本文运用自校正适应控制理论气动位置伺服控制系统进行了研究。

    The pneumatic position servo system is studied by self-tuning adaptive control theory in this dissertation.

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  • 介绍了电阻式传感器测量电路采用基准进行实时自校正技术

    The technology of real time auto-correction by using multiple reference sources in measuring circuit in resistance transducer is introduced.

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  • 综合自校正PID调节器兼有相位裕度极点配置两种设计方法优点

    The hybrid design of self-tuning PID regulator combines the advantage of phase margin design with the advantage of pole placement design.

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  • 本文针对一类多变量系统提出了一种新的极点配置自校正动态解耦控制器

    This paper presents a new multivariable pole - assignment self-tuning dynamic decoupling controller for a class of multivariable processes.

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  • 结合最优控制自校正控制理论给出了半主动起落架适应控制策略。

    Combining optimal control and self-tuning control theory, the adaptive control strategy for semi-active landing gear is proposed.

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  • 基础上设计了它们校正预报器(STP)自校正控制器(STC)。

    On the basis self tuning predictor (STP) and self tuning controller (STC) are designed.

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  • 特别用于解决含有未知模型参数噪声统计系统校正信息融合滤波问题

    Specially, they can be applied to solve the self-tuning information fusion filtering problems for systems with unknown model parameters and noise statistics.

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  • 特别用于解决含有未知模型参数噪声统计系统校正信息融合滤波问题

    Specially, they can be applied to solve the self-tuning information fusion filtering problems for systems with unknown model parameters and noise statistics.

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