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噪声控制

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We firstly summarize the NN system modeling methods and the popular optimization algorithms, and point out the deficiencies, the limitation of noise cancellation modeling and the need of human intelligence participation, in our former optimization work after analysis. An abstract problem is extracted. It is to find out control variant that makes system output optimized using the data comprising a sample set with N x samples and their corresponding y, and it does not explore given system and achieves full automatic computation procedure. Next we propose a multi-variant controlled system optimization method utilizing CASSANDRA-I small type neural computer and program its application software. Moreover systematic experiments are made to demonstrate the method's validity, ability of noisy samples disposal and practical application.

我们总结了神经网络系统建模方法以及得到广泛采用的优化算法,并分析指出我们前阶段的优化工作中存在的去噪声建模有局限性和计算过程需人干预的不足,在此基础上把问题抽象为:已从系统获得含N个控制量样本的样本集S以及每个样本对应的系统输出,如何依据这些数据求出一个使系统输出y得到优化的控制量x,而不研究具体系统,实现不需要人智能参与自动完成的计算过程;提出应用人工神经网络硬件系统——CASSANDRA-I小型神经计算机的多变量控制系统优化方法,设计完成了其应用软件;并进行系统的实验工作,验证算法的有效性以及此方法处理带噪声样本和实际应用能力。

This paper introduces the causes of noise generation and propagation of indoor water supply and sewerage system , probes into the corresponding solution of controlling indoor noise, mainly discusses water pump house oscillation reducing and noise isolating, selection of drain pipe material and control of velocity and pressure of water supply pipe.

介绍了建筑室内给水排水系统噪声产生与传播的原因,探讨了控制建筑室内噪声的相应对策,重点论述了给水泵房的设置、水泵机组的减振隔声、排水管材的选择、给水管道流速和压力的控制等内容。

A filtered transformation and a stochastic control Lyapunov design method are applied to Marino-Tomei systems driven by Wiener noises of unknown covariance. A parameter adaptive law and a control law are obtained to ensure that the closed-up systems are noise-to-state stable and the tracking error can converge to a small residual set around the origin in the sense of mean quartic value in average.

通过滤波变换,采用随机控制Lyapunov设计方法,对于受方差未知的Wiener噪声干扰的Marino-Tomei非线性系统,给出了参数自适应律和控制律,使得闭环系统成为噪声--状态稳定的,并且跟踪误差的4次均方值在时间平均意义下收敛到一个足够小的区域内。

For the problem of precision and real time control in the process of sulfuration, a new control model is put forward.

针对硫化工艺智能控制过程中的精确和实时性问题,提出了一种基于人工智能的新型控制模型,并将硫化过程中出现的所有噪声统一为一种噪声模型——"泛"噪声,系统控制过程中对该噪声进行自适应学习。

Tacking stitching quality of lockstitch sewing machine ;2. The Research on Current Sensorless AC-servo Drives in Lockstitch Sewing Machine;3. This paper aimed at the characteristics of the needle bar mechanism s motion of lockstitch sewing machine making for air bag fabric,drew out the whole motion diagram of the needle bar mechanism,and making an equal replacing about it.

提出了一种应用优化平衡对高速平缝机振动及噪声控制的方法,在动态测试的基础上,利用功率密度谱分析,正确诊断出高速平缝机振动及噪声源;采用优化计算技术,调整构件的质量分布,实现机构及机构系统的惯性力和惯性力矩的最佳平衡,最终达到减振降噪的目的。

It is an important topic to design exhaust mufflers that have good attenuation performance and low pressure loss in the field of automobile's noise control.

设计高消声性能、低压力损失的排气系统是目前汽车噪声控制中的重要课题。

The conclusions are helpful to the noise control of piston pump.

研究结果有助于柱塞泵的振动噪声控制

In addition,the trend of the power transformer noise control is prospected.

最后,对变压器噪声控制的发展趋势提出了一些看法。

The challenges are mainly radio fading, noise control, interference and signal quality.

主要的问题是无线衰落、噪声控制、干扰和信号质量。

Because of the unique electrical or mechanical performances, the intelligent structures, such as piezoelectric ceramics, are more and more popular in the area of sound and vibration reductions.

研究的结论不仅在车内噪声控制方面具有直接的应用前景,而且对类似的应用都具有理论和实践上的推动作用。

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