提出了分数倍抽样率转换器的高效时变网络结构的设计方法，并用现场可编程门阵列(FPGA)实现。
The design method for the efficient time-varying network architecture of the fractional multiple sampling rate converter is presented and its field programmable gate array (FPGA) is implemented.
为表达过程时变的特点，引入时间参数作为神经网络的一个输入量。
The time parameter is also imported into the neural network to give the time-varying characteristic of the process.
通过在控制过程中分别对控制网络和模型网络进行自适应，解决了控制对象参数的时变问题，显著改善了整个系统的鲁棒性。
With separately adapting of the control network and the model network in control, the problem of time-variance of plant parameters is solved, and the robustness of whole system is improved obviously.
在当今瞬息万变的网络时代，一个企业在针对变化和市场动态进行调整时的灵活性，将决定谁是赢家谁是失败者。
A business's flexibility in adapting to change and market dynamics will mark the winners and losers in this fast-changing Internet Age.
利用模糊系统的径向高斯函数网络对一类非线性时变系统的状态进行了估计。
Radial Gaussian function networks based on fuzzy systems is applied to the state estimation of nonlinear time varying systems.
针对高速公路可变速度控制是一个非线性时变系统，难于用数学模型准确建模这一特点，提出了神经网络控制方法。
The variable speed control for freeway traffic is a nonlinear and time variable system, it is difficult to model with a mathematical model. A neural network control method is put forward.
对于线性非时变的无源二端口网络，在零初始条件下，若存在互易性及对称性，则其电路参数具有一定的特殊性。
If reciprocity and symmetry exist for passive two port networks of linear time invariant under zero intial condition, the circuit parameters will have some important characters.
对于非线性，大时延、变参数的造纸过程灰份含量的控制，本文给出了一种神经网络控制方法。
In this paper, a neural network controller is designed for ash content control of papermaking process, neural networks are trained by using the output error of the controlled plant directly.
对时变时延多包传输网络控制系统的指数稳定性和控制器设计问题进行研究。
Exponential stability and controller design problems for networked control system (NCS) with time-varying delay and multiple-packet transmission were studied.
本文针对船舶操纵这种非线性、时变参数控制对象，提出了一种采用神经网络自适应PID控制方案。
In this paper, according to nonlinear and time-varying parameter of ship maneuvering, the scheme of neural network adaptive PID control is proposed.
研究了带时变时滞的递归神经网络的全局渐近稳定性。
The problem of the globally asymptotical stability of recurrent neural networks with time varying delay is investigated.
针对高速公路限速控制是一个非线性时变系统、难以用数学模型准确建模这一特点，提出了R BF神经网络控制方法。
The control for speed limitation on freeway is a nonlinear and time variable system, it is difficult to model with a mathematical model. A control method based on RBF Neural Network is put forward.
高速公路限速控制是一个非线性时变系统，难于用数学模型准确建模，提出一种模糊神经网络实现限速控制。
The control for speed limit on expressway is a nonlinear and time variable system, it is difficult to simulate with a mathematical model. A neuro-fuzzy network is proposed to solve the problem.
在可变需求网络中考虑交通流分配的非均衡演化过程，建立一个时变拥挤收费和道路通行能力的联合最优控制理论模型，旨在使系统的全期总收益最大。
This paper presents a joint optimization model of time varying road tolls and capacities using the optimal control theory in disequilibrium traffic networks with elastic demand.
研究一类离散和分布时变时滞的混沌神经网络的广义投影同步问题。
In this paper, the problem of general projective synchronization of a class of chaotic neural networks with discrete and distributed time-varying delays is investigated.
包含网络的控制系统是一种时变的控制系统，不同的网络特性下有不同的模型。
The control systems including networks are time-varying systems, and there are different models for different networked properties.
针对液压弯辊系统数学模型的非线性、时变特性，本文设计了一种模糊神经网络模型参考自适应控制器。
In view of the time-variable and nonlinear characteristics of mathematical model of hydraulic bending roll system, this thesis design a new nonlinear adaptive controler based on fuzzy neural network.
在无线体域网环境中，人体作为各种传感器节点的承载体影响着整个网络中的信道特性，使得环境中的信道具有快速时变的特性。
In WBAN, human body which is considered as the carrier of all kinds of sensor nodes will influence the channel characteristic, and this makes the channel time varying.
受到自适应控制方法的启发本文提出了一种变时滞神经网络的同步和镇定的方法，并且可以基于同步对其连结权重进行估计。
Motivated by the idea of adaptive control, we proposed a scheme for the synchronization, synchronization-based parameters identification and stabilization of neural networks with time-varying delay.
对不确定变时滞神经网络系统的鲁棒控制器的设计进行了分析。
Design for robust controller of uncertain neural network with time-varying delay was analyzed.
针对广义回归网络在时变环境下难以确定平滑因子，自适应能力弱的缺点，提出了一种基于贡献率的选择优化方案。
For the defect that it is hard to determine the smoothing parameter in time-varying conditions, the adaptive optimizing strategy based on contributing ratio is proposed.
研究一类同时具有时变时延和测量数据丢失的不确定网络化系统的鲁棒无源滤波器设计问题。
The problem of robust passive filtering for a class of uncertain networked system with time varying delays and missing measurements is studied.
为带时变时延的网络化控制系统提出了一种新的状态反馈控制器的设计方法。
This paper proposes a new method to design state feedback controller for networked control system (NCS) with time-varying delays.
网络化控制系统中，各种恒定、时变或者随机的网络时延会导致系统控制性能的下降甚至不稳定。
Various constant or time-varying, and even random network time delays can usually deteriorate the control performance and stability of networked control systems.
采用这种方法可将非线性时变RLCM网络的瞬态分析简化为若干次线性时不变电阻性网络的直流分析。
With this method, the transient analysis of nonlinear time-varying RLCM network can be reduced to a series of the DC analyses of linear time-invariant resistive network.
本文针对这种情况，设计了一种能够处理时变延迟的状态观测器，并根据网络负载的不同变化情况，提出了两种不同的控制策略。
In this case, a kind of status observer dealing with the time variant delay is designed, and two control strategies are investigated in terms of the network load.
由于运输网络的时变特性，在运输过程中运输成本以及运输时间会随着出发时间的不同而变化。
Due to the time-varying feature of the transportation network, the transport costs and total transport time are varying with the time of departure.
在蜂窝无线网络下行链路的资源调度中，无线信道的时变特点对网络的吞吐量和用户之间的公平性有很大的影响。
In the cellular wireless network resource downlink scheduling, the network throughput and fairness have greatly affected by the channel time-varying characteristics.
针对网络控制问题，建立包含变网络时延及网络传输丢包等的统一模型。
Aiming at the networked control problem, a united model is established including variable network time-delay and data dropout, etc.
利用时变基频的求解方法，建立基于径向基函数网络的时变基频识别模型，解决“深度”复杂性问题；
The identifying model of time variation was built, on the basis of radial basis function neural network to solve the problem of diagnosis depth.
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