• Updated AIX system identification.

    更新的AIX系统标识。

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  • Current AIX 5.2 and AIX 5.1 system identification commands.

    目前的AIX 5.2和AIX 5.1系统标识命令。

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  • Other commands and system interfaces for examining the system identification.

    用于检查系统标识的其他命令和系统接口。

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  • It is also common to query the system identification information through a set of system apis.

    还可以通过一组系统API来查询系统标识信息。

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  • Matthew Cronk, AIX Kernel Developer, is the owner of the design specification for the IBM AIX operating system identification.

    Matthew cronk是aix核心开发人员,是IBM AIX操作系统标识设计规范的拥有者。

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  • It is also known as system identification or system reconstruction.

    这类问题又称为系统辨识或系统重构。

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  • Chapter three is concentrated on position control system identification.

    第三章主要讨论位置控制系统的辨识。

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  • With the method of system identification, a math model is set up in this paper.

    应用系统辨识方法建立拖拉机阻力控制系统犁耕阻力的数学模型。

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  • Intelligent fusion theory and method of dam system identification were studied.

    大坝系统智能辩识理论和方法研究。

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  • Also application of the algorithm to on-line system identification was discussed.

    并讨论了该算法在在线系统辨识中的应用。

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  • It is important to get accurate data in system identification in unmanned helicopter.

    准确的飞行数据对于建立无人直升机数学模型至关重要。

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  • A nonlinear system identification method ba sed on hybrid evolution strategy is proposed.

    提出了基于混合进化策略的非线性系统辨识方法。

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  • This paper proposes a rough evolutionary approach to non parametric system identification.

    提出了一种用于非参数系统辨识的粗糙进化方法。

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  • We introduce and study the subspace state space system identification method in the paper.

    本文主要介绍和研究了多变量系统辨识的子空间状态空间辨识方法。

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  • In this article the optimization problem of time varying system identification is discussed.

    考虑时变系统辨识中辨识设计变量的最优化问题。

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  • Structural system identification with incomplete input information is studied in this paper.

    本文研究输入信息不完备条件下结构的参数识别问题。

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  • By using the technique of adaptive filtering, we put forward a new method for system identification.

    采用自适应滤波技术,给出了系统辨识的一种方法。

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  • The one main way that NN is applied to FDD is dynamic system identification with feedforward networks.

    采用前馈型网络对动态系统辨识是神经网络应用到故障检测和诊断中的主要方法之一。

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  • A new scaling kernel support vector regression was proposed for nonlinear system identification problem.

    提出一种新的尺度核支持向量回归方法,并应用于非线性系统辨识问题。

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  • A new PID controller optimization design scheme based on system identification and reference model is proposed.

    本文提出基于系统辨识和参考模型的调速器PID参数优化方法。

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  • In control system, system identification and control are calculated by high speed digital signal processing board.

    实时控制中,辨识和控制的计算都由高速数字信号处理器完成。

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  • The parameter learning algorithm of dynamic recurrent neural network based on system identification is analyzed. D.

    分析了动态递归神经网络系统辨识的参数学习算法。

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  • Examples of nonlinear system identification are given to verify the feasibility and effectiveness of the proposed method.

    在非线性结构系统识别中验证了该方法的可行性与有效性。

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  • Original equipment manufacturer (OEM) systems might use this article as a reference for their own system identification generation.

    原始设备制造商(OEM)系统可以使用本文作为参考,以生成他们自己的系统标识。

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  • This paper gives some complementary pictures of the time domain approach and the frequency domain approach in system identification.

    本文给出时域辨识与频域辨识相互补充的一些事实。

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  • In this paper, a fast visual evoked potential measurement technique-system identification with pseudo-random sequences is presented.

    本文利用伪随机序列相关辨识技术,实现了快速检测视觉诱发电位。

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  • Although uname -m is available, it is not recommended, since the five-digit sequence number is not always sufficient for unique system identification.

    尽管可以使用uname - m,但不建议这样做,因为对于唯一系统标识来说,5位数字的序列号并非总是足够的。

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  • This method is a control-relevant identification method, and it could get better results as compared with the existing system identification methods.

    这种方法是与控制相关的一种辨识方法,能获得比普通的系统辨识方法更好的结果。

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  • John o 'quin, Distinguished Engineer, AIX Architect, is the designer of the system identification plan and also the developer for the algorithms involved.

    Johno'Quin是杰出工程师和AIX架构师,是系统标识方案的设计者及相关算法的开发人员。

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  • This method can not only make demarcation of measure-control device system full automatization, but also greatly improve accuracy of system identification.

    该方法不仅可使测控装置系统的标定实现全自动化,而且极大提高了系统标定的准确程度。

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