Updated AIX system identification.
更新的AIX系统标识。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
This paper studied the models of pre-mixed spark ignition gas engine particularly, which adopted the method of mechanism analysis and system identification.
本文采用机理分析与系统辨识相结合的方法，对预混点燃式气体燃料发动机进行了深入细致的建模研究。
The mathematic model with system identification based on the data of practically industrial product process is developed for the vacuum removing Pb furnace.
利用系统辨识的方法，根据工业现场数据，建立了真空脱铅炉的数学模型。
The research of fuzzy system identification is very important for achieving satisfactory performance of fuzzy control in both theory and application aspects.
为了实现理想的模糊控制，基于对象的模糊系统辨识研究具有非常重要的理论与实际应用价值。
Fuzzy system identification and control is an important branch of the identification and control of general nonlinear system that is a complex research field.
非线性系统辨识和控制是一个复杂而又非常重要的研究领域，其中模糊系统辨识及其控制研究是一个重要的分枝。
Fuzzy system identification is one of the main approaches of fuzzy system modeling. Optimized fuzzy system structure is the key of fuzzy system identification.
模糊系统辨识是模糊系统建模的主要手段，优化的模糊系统结构是模糊系统辨识的关键。
Based on the sensitivity of neural network of system identification, a method of descending neural network sensitivity in control systems is proposed in this paper.
基于系统辨识的神经网络灵敏度，提出了降低用于控制系统中神经网络灵敏度的一种方法。
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