时间模上一类二阶非线性动态方程的振动结果

研究时间模上一类非线性的二阶中立型时滞动态方程的振动性,利用时间模上的理论和一些分析技巧,借助Riccati变换和H函数的方法,得到该方程振动的几个新的充分条件,改善了对方程的条件限制,推广和改进了现有文献中的有关结果,并给出例子说明结论的重要性.     

网络控制系统多时延模型及切换策略研究

针对一类具有时变时延的网络化控制系统,为有效减少网络诱导时延对系统的影响,提出了一种网络控制系统多时延模型,基于切换系统理论提出了切换控制策略,并运用李雅普诺夫稳定判据分析了切换策略的稳定性;仿真结果表明:多时延切换模型能取得良好的暂态性能和稳态性能,具有很好的实时性.     

一类中立型时滞系统的相关稳定性

基于李雅普诺夫泛函方法,研究了离散时滞和中立型时滞相等的系统稳定性问题,同时也研究了两类时滞不等的混合时滞系统的稳定性.对区间进行了四等分分解,在构造的李雅普诺夫泛函中引入了二重积分项,对积分项的导数进行时滞等分处理,利用线性矩阵不等式分析技巧和李雅普诺夫稳定性定理获得保守性较小的时滞系统相关稳定性判定依据.     

一种适合于低空无线信道的改进SC FDE技术

目前国内外对于低空无线信道的报道较少, 尚未建立统一的模型, 而由于多径时延和多普勒频移的影响, 传统的单载波频域均衡(SC FDE)技术在该信道下的传输性能较差. 本文在航空信道建模的基础上, 分析了不同场景下低空无线信道的传输特性, 建立了相应的信道模型. 为了在低空无线信道下获得良好的传输性能, 提出了一种基于Turbo编码和最优信号子空间(OSS)理论的改进SC FDE技术. 仿真结果表明, 该技术能很好地适应低空无线信道的特性, 可以在低信噪比(SNR)条件下获得较低的误码率(BER), 从而提升了通信系统在该信道下的传输性能.     

脉冲电流对AZ21镁电极电压滞后的影响

AZ21镁合金在硫酸镁溶液中会产生表面膜,导致严重的电压滞后问题.加载脉冲电流可以减少AZ21镁合金的滞后时间,缩短放电初期时的电压降,降低平衡电压,提高放电平稳性等,有利于AZ21镁合金在电池中的应用.本文利用恒电流法、多电流阶跃法、电化学阻抗、扫描电镜等多种方法对AZ21镁合金在2 mol·L-1的MgSO4溶液的电压滞后问题进行实验研究.结果表明,经50 mA脉冲电流1 s后,AZ21的电压滞后时间可从6.35 s (3.23 V)降至0.59 s (0.034 V).     

A routing algorithm for industrial wireless network based on ISA100.11a

ISA100.11 a industrial wireless network standard is based on a deterministic scheduling mechanism.For the timeslot delay caused by deterministic scheduling,a routing algorithm is presented for industrial environments.According to timeslot,superframe,links,channel and data retransmission of deterministic scheduling mechanisms that affect the design of the routing algorithm,the algorithm selects the link quality,timeslot delay and retransmission delay as the routing criteria and finds the optimum communication path by k shortest paths algorithm.Theoretical analysis and experimental verification show that the optimal paths selected by the algorithm not only have high link quality and low retransmission delay,but also meet the requirements of the deterministic scheduling.The algorithm can effectively solve the problem of packet loss and transmission delay during data transmission,and provide a valuable solution for efficient data transmission based on determinacy.     

A software reliability growth model for component-based software incorporating debugging delay and imperfect debugging

In view of the problems and the weaknesses of component-based software(CBS) reliability modeling and analysis,and a lack of consideration for real debugging circumstance of integration testing,a CBS reliability process analysis model is proposed incorporating debugging time delay,imperfect debugging and limited debugging resources.CBS integration testing is formulated as a multiqueue multichannel and finite server queuing model(MMFSQM) to illustrate fault detection process(FDP) and fault correction process(FCP).A unified FCP is sketched,given debugging delay,the diversities of faults processing and the limitations of debugging resources.Furthermore,the impacts of imperfect debugging on fault detection and correction are explicitly elaborated,and the expressions of the cumulative number of fault detected and corrected are illustrated.Finally,the results of numerical experiments verify the effectiveness and rationality of the proposed model.By comparison,the proposed model is superior to the other models.The proposed model is closer to real CBS testing process and facilitates software engineer's quantitatively analyzing,measuring and predicting CBS reliability.     

带时滞的随机捕食—被捕食系统生存性分析

研究了一类带时滞的随机捕食—被捕食系统.在一些简单假设下,建立了两种群几乎时间均值稳定和局部灭绝的充分条件,并得到了其临界值.举出例子,借用MATLAB仿真说明主要结果.     

多时滞捕食与被捕食系统正平衡点的Hopf分支性质

针对有些文献考虑了一类时滞捕食-食饵系统正平衡点的稳定性及局部Hopf分支问题.故将利用中心流型定理和正规形方法深入分析此系统的Hopf分支性质,包括分支的方向和分支周期解的稳定性.从而推广了此理论体系.     

White noise estimation for discrete-time systems with random delay and packet dropout

This paper is concerned with the optimal and suboptimal deconvolution problems for discrete-time systems with random delayed observations. When the random delay is known online, i.e., time stamped, the random delayed system is reconstructed as an equivalent delay-free one by using measurement reorganization technique, and then an optimal input white noise estimator is presented based on the stochastic Kahnan filtering theory. However, tb_e optimal white-noise estimator is timevarying, stochastic, and doesn＇t converge to a steady state in general. Then an alternative suboptimal input white-noise estimator with deterministic gains is developed under a new criteria. The estimator gain and its respective error covariance-matrix information are derived based on a new suboptimal state estimator. It can be shown that the suboptimal input white-noise estimator converges to a steady-state one under appropriate assumptions.