Heuristic algorithm for RCPSP with the objective of minimizing activities' cost

Resource-constrained project scheduling problem（RCPSP） is an important problem in research on project management. But there has been little attention paid to the objective of minimizing activities＇ cost with the resource constraints that is a critical sub-problem in partner selection of construction supply chain management because the capacities of the renewable resources supplied by the partners will effect on the project scheduling. Its mathematic model is presented firstly, and analysis on the characteristic of the problem shows that the objective function is non-regular and the problem is NP-complete following which the basic idea for solution is clarified. Based on a definition of preposing activity cost matrix, a heuristic algorithm is brought forward. Analyses on the complexity of the heuristics and the result of numerical studies show that the heuristic algorithm is feasible and relatively effective.

基于多目标函数的避洪转移安置方案优化

针对目前避洪转移方案仅考虑时间或距离成本最优导致部分安置点人数分配不合理的问题,从“安全第一、就近就便、平灾结合、利于管理”的避洪转移安置方案基本要求出发,首先对安置点的适用性、分布合理性及容量大小3个方面进行分析,依据“时间、距离、适宜度和安置容量”四因素初步筛选合适的安置点。然后通过路权函数建立避洪转移时间成本矩阵,以转移时间成本和安置点的优化分配为多目标函数确定避洪转移安置点的最优分配方案。最后以TOPSIS评价方法对避洪转移安置点分配的单目标方案与多目标方案进行对比分析。结果表明:多目标方案的相对接近度大于单目标方案,基于多目标函数确定的避洪转移安置分配方案更加合理。

具有执行器故障的网络控制系统的非脆弱保性能控制

对短时变时延下具有执行器故障的网络控制系统的鲁棒非脆弱保性能控制问题进行研究。为了降低保守性,利用标称点方法对系统进行建模,并结合时变故障矩阵与非脆弱控制,将连续时间系统模型转变为具有范数有界不确定参数的时变离散时间模型。根据Lyapunov对离散系统的稳定性判据以及线性矩阵不等式技术,给出保性能控制器的设计策略和相应的二次性能指标的求解方法,并通过算例验证了所提策略的正确性。

基于测试代价的三支邻域属性约简算法

针对粗糙集属性约简时很少考虑属性自身的测试代价等问题,提出了一种基于测试代价的三支邻域属性约简算法。算法根据各属性在邻域分辨矩阵中出现的频次和比例来计算属性重要性,并结合属性自身的测试代价来构造性价比指标,以此指导属性的甄选。三支决策方法被用于划分属性集,为属性的约简处理提供数据支撑。在7个UCI公共数据集上进行对比实验,结果表明,该算法可得到比对比算法更小的属性约简集合,在分类精度不降低的情况下,该算法具有更少的运行时间和更小的测试代价。基于财政收入的预测应用实例进一步证明了所提算法的有效性和实用性。

航空电子设备数字化柔性调测产线设计与实现

航空电子设备具有小批量多品种、高度综合化、功能指标多、产品组成复杂的特点,其调测数字化、自动化和柔性化非常重要。针对航空电子设备生产调测产线数字化、自动化和柔性化需求,提出一种数字化柔性调测产线建设方法,包括产线设计思路、软硬件设计等,同时,着重介绍了通用适配器设计、多通道射频矩阵设计、全自动装夹适配台设计等主要技术。该产线已应用于多型航空电子设备的调测生产,生产效率高、自动化程度高,具备可柔性换产能力,并缩短了产品的调测交付周期,降低了调测生产成本。

基于财务战略矩阵的家电制造企业财务优化研究——以浙江苏泊尔股份有限公司为例

以浙江苏泊尔股份有限公司(以下简称“苏泊尔”)为例,运用财务战略矩阵模型分析了家电制造企业的财务优化路径。通过构建和评价苏泊尔的财务战略矩阵图,展示了其在2018-2022年的财务波动情况,以及上述波动背后的内外部环境因素。基于分析结果,提出了相应的财务优化建议,旨在推动同类家电制造企业提升财务管理水平,实现降本增效。

基于LT码的分布式矩阵计算研究

在如今大数据和机器学习应用范围不断扩大的背景下,分布式计算系统成为处理庞大数据的必要工具。对于具有一定规模的计算集群,其性能会不可避免地受到系统噪声的影响,应考虑在分布式计算系统中借助编码技术来增强系统的鲁棒性。现有应用于分布式矩阵计算的编码方案多为固定速率编码,无法适应节点数量动态变化的实际情况。同时,由于部分任务有截止期限制,应在保证任务顺利完成的前提下尽可能地减少平均开销从而降低时延。针对上述问题,提出将LT码应用于雾计算场景下的分布式矩阵计算,设计Remo2算法。依托LT码的无速率特性自适应信道状态变化,通过合适的度分布函数设计以及双向切割、因子化度数的方法达到降低时延、增强分布式计算系统鲁棒性的预期效果。令k_(1)为A矩阵被切分后的子矩阵行值,k_(2)为B矩阵被切分后的子矩阵列值,实验结果表明,在k_(1)值固定的前置条件下,与FLT码及BDC-LT算法相比,Remo2算法的平均开销相对于前者稳定降低了33.3%,相对于后者减少了7.7%的冗余。此外,当k_(1)k_(2)大小的码长固定时,k_(1)、k_(2)的离散化程度越低,即limk_(1)-k_(2)→0,会带来更小的平均开销。

Guaranteed Cost Controller Design of Networked Control Systems with State Delay

这份报纸为联网的控制系统(NCS ) 的一个类涉及州反馈的保证费用控制器设计与州延期。NCS 的一个新模型在导致网络的延期的考虑下面被提供。为为 NCS 的一个保证费用控制器的存在的一个 suffcient 条件被一套线性矩阵不平等(LMI ) 介绍。一个方法，它能转变对非凸凸，被使用。因此，一个数字算法被建议获得更低的界限。通过一个例子的理论分析显示出方法的有效性。

Non-fragile guaranteed cost control of discrete-time fuzzy bilinear system

This paper focuses on the problem of non-fragile guaranteed cost control for a class of T-S discrete-time fuzzy bilinear systems（DFBS）.Based on the parallel distributed compensation（PDC） approach,the sufficient conditions are derived such that the closed-loop system is asymptotically stable and the cost function value is no more than a certain upper bound in the presence of the additive controller gain perturbations.The non-fragile guaranteed cost controller can be obtained by solving a set of bilinear matrix inequalities（BMIs）.The Van de Vusse model is utilized to demonstrate the validity and effectiveness of the proposed approach.

Guaranteed Cost Control for Uncertain Nonlinear Time-Delay Neutral Systems Based on T-S Fuzzy Model

The problem of guaranteed cost fuzzy controller is studied for a class of nonlinear time-delay neutral sys-tems with norm-bounded uncertainty based on T-S model. The sufficient conditions are first derived for the existenceof guaranteed cost fuzzy controllers. These sufficient conditions are equivalent to a kind of linear matrix inequalities.Furthermore, a convex optimization problem with LMI constraints is formulated to design the optimal guaranteedcost controller.

Robust reliable guaranteed cost control for uncertain singular systems with time-delay

The robust reliable guaranteed cost control for uncertain singular delay systems with actuator failures and a given quadratic cost function is studied. The system under consideration involves constant time-delay and norm-bounded parameter uncertainties. The purpose is to design state feedback controllers which can tolerate actuator failure, such that the closed-loop system is stable, and the specified cost function has an upper bound for all admissible uncertainties. The sufficient conditions for the solvability of this problem are obtained by a linear matrix inequality （LMI） method. Furthermore, a numerical example is given to demonstrate the applicability of the proposed approach.

基于改进型M2PC控制方法的MC-PMSM控制系统

针对传统的模型预测控制(model predictive control,MPC)方法、调制模型预测控制(modulation MPC,M2PC)存在的问题,提出改进型M2PC方法,并用于矩阵变换器(matrix converter,MC)-永磁同步电机(permanent magnet synchronous motor,PMSM)系统控制。首先,给出了MC-PMSM的拓扑结构,分析了基于传统MPC、M2PC方法的MC-PMSM控制系统及其存在的问题;接着,提出了基于改进型M2PC方法,该方法不但能够固定开关频率,还能降低计算量和改善波形质量;最后,在RTDS平台上对MC-PMSM系统采用改进型M2PC方法进行仿真,并与采用传统的MPC、M2PC方法进行了比较。结果表明,所提改进型M2PC方法的控制性能优于传统的MPC、M2PC方法。

Suboptimal reliable guaranteed cost control for continuous-time systems with multi-criterion constraints

The suboptimal reliable guaranteed cost control (RGCC) with multi-criterion constraints is investigated for a class of uncertain continuous-time systems with sensor faults. A fault model in sensors, which considers outage or partial degradation of sensors, is adopted. The influence of the disturbance on the quadratic stability of the closed-loop systems is analyzed. The reliable state-feedback controller is developed by a linear matrix inequalities (LMIs) approach, to minimize the upper bound of a quadratic cost function under the conditions that all the closed-loop poles be placed in a specified disk, and that the prescribed level of H∞ disturbance attenuation and the upper bound constraints of control inputs’ magnitudes be guaranteed. Thus, with the above multi-criterion constraints, the resulting closed-loop system can provide satisfactory stability, transient property, a disturbance rejection level and minimized quadratic cost performance despite possible sensor faults.

足球场内球员多目标跟踪算法

为解决足球比赛场内球员的多目标跟踪任务中,因场外人员对跟踪的干扰,球员频繁地运动、互相遮挡,以及摄像镜头复杂地移动等情况,造成的跟踪准确度低、跟踪目标ID(identity)保持能力弱的问题,提出一种适用于足球场内球员跟踪的多目标跟踪数据集和多目标跟踪算法。通过条件生成对抗网络分割出球场区域,筛选出球场内的基于YOLOX框架的目标检测结果;在数据关联阶段,设计一种融合IoU(intersection over union)与欧式距离的代价矩阵进行目标间的相似性度量;利用足球比赛上场人数存在上限的先验条件,弹性约束跟踪目标ID的增长。实验结果表明,针对足球场内球员的跟踪问题,该算法能够在多目标跟踪准确度、跟踪目标ID保持能力上有极大提高。

Optimal guaranteed cost control for fuzzy descriptor systems with time-varying delay

Based on the delay-independent rule, the problem of optimal guaranteed cost control for a class of Takagi-Sugeno （T-S） fuzzy descriptor systems with time-varying delay is studied. A linear quadratic cost function is considered as the performance index of the closed-loop system. Sufficient conditions for the existence of guaranteed cost controllers via state feedback are given in terms of linear matrix inequalities （LMIs）, and the design of an optimal guaranteed cost controller can be reduced to a convex optimization problem. It is shown that the designed controller not only guarantees the asymptotic stability of the closed-loop fuzzy descriptor delay system, but also provides an optimized upper bound of the guaranteed cost. At last, a numerical example is given to illustrate the effectiveness of the proposed method and the perfect performance of the optimal guaranteed cost controller.

Guaranteed cost sampled-data control for uncertain nonlinear time-varying delay system

The robust guaranteed cost sampled-data control was studied for a class of uncertain nonlinear systems with time-varying delay. The parameter uncertainties are time-varying norm-bounded and appear in both the state and the input control matrices. By applying an input delay approach, the system was transformed into a continuous time-delay system. Attention was focused on the design of a robust guaranteed cost sampled-data control law which guarantees that the closed-loop system is asymptotically stable and the quadratic performance index is less than a certain bound for all admissible uncertainties. By applying Lyapunov stability theory, the theorems were derived to provide sufficient conditions for the existence of robust guaranteed cost sampled-data control law in the form of linear matrix inequalities (LMIs), especially an optimal state-feedback guaranteed cost sampled-data control law which ensures the minimization of the guaranteed cost was given. The effectiveness of the proposed method was illustrated by a simulation example with the asymptotically stable curves of system state under the initial condition of x(0)=[0.679 6 0].

Robust guaranteed cost observer design for linear uncertain jump systems with state delays

This paper deals with the robust guaranteed cost observer with guaranteed cost performance for a class of linear uncertain jump systems with state delay.The transition of the jumping parameters in systems is governed by a finite-state Markov process.Based on the stability theory in stochastic differential equations,a sufficient condition on the existence of the proposed robust guaranteed cost observer is derived.Robust guaranteed cost observers are designed in terms of a set of linear coupled matrix inequalities.A convex optimization problem with LMI constraints is formulated to design the suboptimal guaranteed cost observers.