就带有同步预测的WBAN时序数据融合算法

提出一种带有同步预测的时序数据融合算法,利用多分辨率分析特性对采集的原始数据进行预处理,挖掘反映人体生理状态的本质特征,进而采用同步预测机制在感知节点和汇聚节点处分别建立轻量级预测模型,消除网内冗余数据的传输以降低能耗。结果表明所提出的融合算法具有较高的预测精度,能够实现低开销的无线体域网时序数据融合。

多因子关联分析模型及其同步预测的新方法

本文基于灰色系统理论的灰关联分析方法，提出了多因子关联分析的ＧＭ（１，Ｎ）模型。根据系统因子发展态势的相似性与接近性，对无法实测的部分变形点实施同步预测。实例分析表明该方法具有良好的可实现性、简单、有效。

高速铁路车-地同步定位预测快速越区切换方法

带宽不足和切换频繁是高速铁路现阶段发展宽带移动通信所面临的关键问题。本文基于光载无线电新技术和小区移动的新概念,构建一种可支持高带宽高铁移动通信应用场景的光电联合控制快速越区切换机制,并提出一种与该机制相匹配的车-地同步定位预测越区切换方法。通过在网络仿真软件NS-2下建立高铁通信模型,获得的仿真结果表明,车-地同步定位预测越区切换算法与经典的IEEE 802.11切换算法相比,在网络吞吐量、封包延迟以及丢包率等指标上均有较大幅度的性能提升,有效克服切换时长问题,避免出现严重的切换风暴。

一类高维动力学系统的混沌预测同步实现方法研究

对于一类含有时间项的高维非线性动力学系统,提出了实现混沌预测同步的控制方法。在混沌同步的基础上,建立了派生系统及差别方程,从理论上证明了提出的方法能够实现对于原非线性系统的预测同步。对于耦合项进行了简化,为了实现长时间的预测,建立了多级同步系统来延长预测同步时间。对于Duffing系统,以及含反馈单摆系统在混沌状态下进行了仿真计算,证明了提出的方法是正确的与有效的。

外噪声作用下可激发系统中的预测同步现象

采用数值模拟方法研究了由2个完全相同的可激发系统,通过单向延迟反馈耦合连接所组成主动-从动系统中的预测同步现象.结果表明在相等的外噪声作用下,当延迟时间和耦合强度在适当的范围内取值时,从动系统发生放电活动时所产生的动作电位能够预测主动系统发生放电活动时所产生的动作电位,即出现了预测同步现象,并且预测时间不可能大于主动神经元的响应时间.

基于PPG信号的LSTM网络同步动脉血压预测

为通过光电容积脉搏波信号获取动脉血压参数,并将其作为判断个人健康状况的依据,基于Tensorflow框架训练LSTM网络模型与传统RNN模型,使用625000条光电容积脉搏波数据序列通过忘记、选择记忆、输出阶段得出符合生理规律的血压参数,将两种模型放在125000条样本的测试集中进行有效性验证。实验结果表明,训练后的LSTM模型对血压的预测比传统RNN模型更准确,LSTM预测评价指标MAE、RMSE、STD和R2_score分别为4.05、8.78、7.42和0.89,且预测结果符合美国医疗仪器促进协会标准(MAE<5mmHg,STD<8mmHg),而传统RNN模型则为11.58、17.03、14.54和0.73。LSTM模型能较好地预测血压参数,在生物医学领域有较高的应用价值,其效果优于传统RNN模型。

混沌系统中的预测同步现象

运用数值模拟方法,研究了由两个完全相同的Hindmarsh-Rose神经元通过单向延迟反馈耦合连接组成系统的动力学行为.研究结果表明,当延迟时间和耦合强度在适当的范围内取值时,从动神经元发生放电活动时所产生的动作电位,能够预测主动神经元发生放电活动时所产生的动作电位,即出现了预测同步现象.

传感器故障后多变量经验小波变换多点预测

为有效应对多点风速传感器或风压传感器故障而造成的损失,同时为了降低运算的复杂性和工程应用的难度,需要提出同步恢复缺失数据的模型。传统的多通道信号诊断采用多元经验模态分解(multivariate empiricalmode decomposition,简称MEMD),笔者提出多变量经验小波变换(multivariable empirical wavelet transform,简称MEWT)来同步恢复多点缺失数据。具体应用时,首先,运用MEWT将多点信号同时分解为一系列模态;然后,利用核函数极限学习机(kernel-based extreme learning machine,简称KELM)实现同步预测,同时运用杜鹃搜索(cuckoo search,简称CS)算法对模型的正则化参数以及核参数进行智能寻优。多步预测时,采用多输入多输出(multi-input multi-output,简称MIMO)策略代替传统的滚动策略。建筑物表面实测多点风压数据和实测多点下击暴流风速数据用于验证模型的可行性。与噪声辅助的多元经验模态分解核函数极限学习机的对比结果表明,该模型能更高精度地同步恢复多点多步信号。

跳频预测干扰之跟踪模型的改进

在跳频通信的研究中,针对实现实时跳频跟踪干扰问题,跳频预测干扰是通信电子战中跳频干扰中一项有效的技术。传统的跳频预测干扰的跟踪模型是跳频码序列预测。跳频码序列预测技术在处理实际的跳频通信码序列时实时性差,命中率并不高。为解决上述问题,提出了改进的跟踪模型,跳频同步频率集预测。同时还建立了更客观的新的预测性能评价标准模型。进行仿真的结果表明,与跳频码序列预测相比,跳频同步频率集预测有更高的实时性,使跳频预测提高了跳频跟踪干扰的效率。

运用地震活动时间扫描分析方法的综合预测信度预测地震时间的研究

认为地震活动度S、P(b)值、A(b)值、b值、小震调制比Rm、地震时间熵Qt、算法复杂性AC、地震非均匀度GL、多分维均值Dq、地震集中度C值、地震演化指数YH、地震强度熵QE、G—R关系偏离度η、缺震和等效震级M*等15种地震活动时间扫描分析方法对东南沿海地震带西段4.8级以上地震的发震时间具有一定的预测能力,并将这些方法在震前所显示的异常同步性引伸为地震时间预测信度同步性,初步确定了各种地震活动参数首次出现异常后4.8级以上地震发生在不同时段上的信度,证实了震前预测地震时间信度的同步性要远好于异常同步性,进而计算出这15种分析方法的综合预测信度。研究发现,运用综合预测信度可以较为明确地预测出M≥4.8级地震的发生时段,如果在所预测时段内同步发生了地震活动度S、P(b)、A(b)和b值异常(并非都要全部发生),则有可能做出6个月内发震的短期预报。

非线性振动系统的预测同步方法研究

对于非线性振动系统,如果通过线性耦合可以实现派生系统与原系统的同步,则可以建立相应的预测派生系统,使得预测派生系统的响应与经τ时间以后的原系统响应同步,实现对原振动系统的非线性响应,特别是混沌响应的预测.也可以建立多级的预测派生系统,预测较长一段时间以后的振动系统未来的非线性响应.对于Duffing系统建立了6级的预测派生系统,可以比较精确地预测3s左右的原系统混沌响应.

跳码无匙入口系统

随着电子技术的发展 ,遥控无匙入口 (RKE)系统在生活中正得到越来越广泛的应用。解决早期使用的固定密码方式易破解的问题 ,并解决了滚动跳码机制及前向预测同步技术。采用跳变密码 (Hoppingcode) ,提高了安全性。本文讨论了跳码技术 ,DES加密技术在单片机中实现的方法及其相关问题。

Unity引擎下多人在线网络游戏的设计与开发

游戏数字产业在数字经济发展中扮演着重要的角色,目前对于单机游戏的设计与开发比较多,多人在线3D网络游戏涉及的相对较少.本文结合网络通信原理,以Unity3D为基础,采用MVC架构,设计并实现了多人在线动作角色扮演游戏(ARPG).针对在线玩家场景的一致性问题,提出了位置同步、武器同步、伤害同步等通信协议.游戏界面是否友好,很大程度上影响玩家的用户体验,同时也影响着游戏的整体进度,对此设计出一种通用的UI框架.由于存在网络延迟,系统很难做到实时的、精确的玩家位置同步,因此本文采用预测式位置同步方法,有效减少了游戏运行时的延迟误差.

Vector control of permanent magnet synchronous motor based on dynamic matrix control

Aiming at the control problem of strongly nonlinear and coupled permanent magnet synchronous motor(PMSM)oil rig,this paper presents a predictive control method based on dynamic matrix model.In this method,the dynamic matrix algorithm using multistep prediction technique is applied to the speed loop control of the motor vector control.And its control effect is compared with the traditional proportional integral(PI)control of the motor.By comparing the initial dynamic response and the steady-state recovery under load interference of the two methods,it is shown that the dynamic response and the robustness of the motor controlled by the new method is better than that controlled by conventional PI method.And the feasibility of new control in the application of PMSM oil rig is verified.

Multi-UAV surveillance implementation under hierarchical dynamic task scheduling architecture

In this paper,we consider a multi-UAV surveillance scenario where a team of unmanned aerial vehicles(UAVs)synchronously covers an area for monitoring the ground conditions.In this scenario,we adopt the leader-follower control mode and propose a modified Lyapunov guidance vector field(LGVF)approach for improving the precision of surveillance trajectory tracking.Then,in order to adopt to poor communication conditions,we propose a prediction-based synchronization method for keeping the formation consistently.Moreover,in order to adapt the multi-UAV system to dynamic and uncertain environment,this paper proposes a hierarchical dynamic task scheduling architecture.In this architecture,we firstly classify all the algorithms that perform tasks according to their functions,and then modularize the algorithms based on plugin technology.Afterwards,integrating the behavior model and plugin technique,this paper designs a three-layer control flow,which can efficiently achieve dynamic task scheduling.In order to verify the effectiveness of our architecture,we consider a multi-UAV traffic monitoring scenario and design several cases to demonstrate the online adjustment from three levels,respectively.

Model predictive torque control of permanent magnet synchronous motor system driven by matrix converter

Employing matrix converter （MC） as driving mode, the strategy of model predictive torque control （MPTC） is proposed for three phase permanent magnet synchronous motor （PMSM） system. MC is applied instead of conventional AC DC AC converter to increase the power factor （PF） of the system input side. MPTC is used to select optimal voltage space vector to enable the system to have satisfactory torque and flux control effect. The resultant MPTC strategy not only makes the MC fed PMSM system operate reliably and have perfect control performance, but also makes the PF of the system input side be 1. Compared with direct torque control （DTC）, the proposed MPTC strategy guarantees that MC fed PMSM has better command following characteristics in the presence of variation of load torque and tracking reference speed. Simulation results verify the feasibility and effectiveness of the proposed strategy.

Predictive current control system of PMSM based on LADRC

For a permanent magnet synchronous motor(PMSM)model predictive current control(MPCC)system,when the speed loop adopts proportional-integral(PI)control,speed regulation is easily affected by motor parameters,resulting in the inability to balance the system robustness and dynamic performance.A PMSM optimal control strategy combining linear active disturbance rejection control(LADRC)and two-vector MPCC(TV-MPCC)is proposed.Firstly,a mathematical model of a PMSM is presented,and the PMSM TV-MPCC model is developed in the synchronous rotation coordinate system.Secondly,a first-order LADRC controller composed of a linear extended state observer and linear state error feedback is designed to reduce the complexity of parameter tuning while linearly simplifying the traditional active disturbance rejection control(ADRC)structure.Finally,the conventional PI speed regulator in the motor speed control system is replaced by the designed LADRC controller.The simulation results show that the speed control system using LADRC can effectively deal with the changes in motor parameters and has better robustness and dynamic performance than PI control and similar methods.The system has a fast motor speed response,small overshoot,strong anti-interference,and no steady-state error,and the total harmonic distortion is reduced.

Active disturbance rejection control FCS-MPC strategy based on ESO of PMSM system

In order to improve the control performance of three-phase permanent magnet synchronous motor(PMSM)system,an active disturbance rejection finite control set-mode predictive control(FCS-MPC)strategy based on improved extended state observer(ESO)is proposed in this paper.ESO is designed based on the arc-hyperbolic sine function to obtain estimations of rotating speed and back electromotive force(EMF)term of motor speed.Active disturbance rejection control(ADRC)is applied as speed controller.The proposed FCS-MPC strategy aims to reduce the electromagnetic torque ripple and the complexity and calculation of the algorithm.Compared with the FCS-MPC strategy based on PI controller,the constructed control strategy can guarantee the reliable and stable operation of PMSM system,and has good speed tracking,anti-interference ability and robustness.

The Double Excitation： A Solution to Improve Energetic Performances of High Power Synchronous Machines

DFSM （doubly fed synchronous machine） presents several advantages such as efficiency improvement, weight reduction and increase of the utilization factor （kW/kg）. In this paper the authors focus on impact of the DFSM on the efficiency and machine weight in comparison to conventional synchronous generator with wound rotor. Different topologies of DFSM are briefly described and the different methods and models for performances prediction are presented.

带扰动补偿的离散滑模SPMSM模型预测电流控制

针对永磁同步电机模型预测电流控制的调速系统往往会出现运行不稳定,在受到外部扰动时速度波动较大这一现象,提出了带负载扰动观测的离散滑模控制永磁同步电机模型预测电流控制方法.在表面式永磁同步电机模型预测电流控制算法研究的基础上,设计了离散滑模速度控制器取代比例—微分(PI)调节器,抑制了超调,提高了系统的启动性能.提出了离散滑模扰动观测器并对负载进行前馈补偿,有效的抑制了外部的扰动,提高了系统的鲁棒性.通过仿真验证了该控制策略可提高系统的动态性能和稳态精度.