ID 原文 译文
10484 该算法首先计算保障单元的分配问题,随后搜索资源分配的优先级列表生成保障任务的工作顺序,算法中利用Petri网过程模型计算不确定条件下的目标函数值。 This algorithm firstly calculates the distribution of the security unit, then search for resource allocation of the work order of priority list to generate security tasks, algorithms in the process of Petri net model is used to calculate the objective function value of uncertain conditions.
10485 仿真实验表明算法能在较快的收敛速度下提高保障单元的利用率。 Simulation results show that algorithm can improve security unit under faster convergence speed utilization.
10486 针对资源受限的离散时间网络控制系统,提出一种基于性能优化的事件触发和量化控制协同设计方法。 Network control system for resource constrained discrete time, put forward a kind of event trigger based on performance optimization and quantitative control method of collaborative design.
10487 该方法主要通过事件触发降低网络带宽占用,采用带有缩放因子的动态量化器降低量化误差的影响,并将该网络控制系统建模成具有不确定参数的离散时间切换系统; ‭This method is mainly triggered by events to reduce network bandwidth, dynamic quantizer with zoom factor are adopted to decrease the influence of quantization error, and the network control system modeling into discrete time switched systems with uncertain parameters.
10488 根据稳定性和二次性能指标要求,利用分段李雅普诺夫函数和线性矩阵不等式技术将性能指标最优问题转化为具有矩阵不等式约束的优化问题,给出了保证系统渐近稳定且二次性能指标最小的事件触发器参数、动态量化器可调参数及控制器增益协同设计方法。 ‭In accordance with the requirements of stability and quadratic performance index, using piecewise lyapunov function and linear matrix inequality (lmi) technique with performance index, the optimal problem can be converted to matrix inequality constrained optimization problems, and gives the asymptotically stable and guarantee system parameters, the quadratic performance index is the smallest event trigger dynamic quantizer adjustable parameter and the design method of controller gain synergy.
10489 最后,通过仿真验证了所提方法的有效性。 ‭Finally, the effectiveness of the proposed method is verified by simulation. ‭
10490 针对中分辨率成像光谱仪(moderate resolution imaging spectroradiometer,MODIS)影像常见的3种条带噪声,提出了一种矩匹配和变分相结合的多类条带噪声去除模型。 In view of the moderate resolution imaging spectroradiometer (moderate resolution imaging spectroradiometer, MODIS) common three stripe noise of images, this paper proposes a combined moment matching and variational stripe noise removal model.
10491 首先采用矩匹配方法对MODIS影像做预处理,然后基于变分方法去除条带噪声。 First moment matching method of MODIS image preprocessing, and then based on the variational method to remove stripe noises.
10492 能量泛函由L1正则化项、数据保真项和梯度保真项组成,基于Split Bregman迭代计算能量泛函的最优解。 Energy functional by L1 regularization item, data fidelity term and gradient fidelity term, based on the Split Bregman iterative calculation of energy functional of the optimal solution.
10493 实验结果表明,此算法能够有效地去除MODIS影像中常见的条带噪声。 The experimental results show that this algorithm can effectively remove common stripe noise of MODIS image.