线性分式规划原始单纯形算法有限性问题

本文用一个数值例子说明用[1] 和[2] 中的原始单纯形算法求解退化的线性分式规划(LFP) 可能会出现基循环,从而得不到最优解。于是就此情形引入了Bland规则,并建立了有限性算法。     

高阶累积量自适应波束形成的改进算法

针对线性约束最小方差(LCMV)算法在自适应波束形成时,存在的对噪声敏感、信噪比(SNR)较高时波束形成受小特征值扰动影响较大的情况。在基于高阶累积量的LCMV算法的基础上提出改进方法。该方法首先计算阵列接收数据的高阶累积量,然后对高阶累积量构造数据增广矩阵,进行奇异值分解求出伪逆,再用伪逆修正LCMV算法的权值,形成波束。仿真结果表明,相比于传统LCMV算法与基于高阶累积量的LCMV算法。算法能够有效地克服信噪比升高时小特征值扰动对波束形成的不良影响,且在较低快拍数下仍能有效形成波束。     

Approximation methods for the analysis of a multicomponent,multiproduct assemble‐to‐order system

In this article, we consider the performance evaluation of a multicomponent, multiproduct assemble‐to‐order (ATO) system. Each component is managed independently using a base‐stock policy at a supply facility with limited production capacity and an infinite buffer. The arrivals of demands follow a multivariate Poisson process and unfilled demands are backlogged. Because exact analysis of the proposed system is not feasible, we propose two approximation methods which provide upper and lower bounds for various performance measures such as fill rate, average waiting time, and average number of backorders of the proposed system. Our computational experiments demonstrate the effectiveness of the two approximation methods under various system settings. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

遥控武器站的自抗扰控制

遥控武器站系统是一个具有强后坐力、变摩擦力和变转动惯量的非线性系统,采用自抗扰控制技术对该系统进行稳定控制.系统利用自抗扰控制器的扩张状态观测器,对系统未建模特性和不确定性外扰进行动态估计和反馈补偿,提高了系统的抗干扰能力.实物系统稳定控制实验结果表明,所设计的自抗扰控制器具有良好的动态品质和较强的抗干扰性能,系统实现...     

基于制导与控制一体化的导弹编队队形控制

为了提高导弹编队协同作战队形控制能力,研究了基于制导与控制一体化思想的编队队形控制器设计问题。根据领弹-从弹的动力学以及运动学方程,推导出了领弹-从弹的相对运动模型,建立了领弹姿态信息与从弹舵偏角之间的关系,将从弹通道间的耦合项作为不确定项进行处理,并利用自适应神经网络理论设计了补偿器,对不确定项进行了处理。根据反演理论设计了编队队形控制器,能够对导弹编队队形进行有效的控制。     

导弹自动驾驶仪的模糊自整定免疫PID控制

提出了一种模糊自整定免疫PID控制器的设计方案.该控制器将免疫反馈机理与传统的模糊PID控制有机地结合起来,实现了对控制系统的参数自整定.给出了某战术导弹自动驾驶仪的传递函数和仿真试验设计.仿真结果表明,这种模糊自整定免疫PID控制效果明显优于传统的模糊PID控制方式,具有较强的抗干扰能力,特别对变参数系统具有较强的鲁棒性.     

锆酸铅PbZrO3序参量的量子饱和

在503 K反铁电体PbZrO3发生立方-正交相变,序参量是反平行离子位移引起的超晶格;在低温相时,PbZrO3的反铁电超晶格反射强度随温度的变化成正比,可以由考虑量子效应的Landau唯象理论加以描述;高于室温时,Γ25超晶格反射强度显示了不同的温度依赖性。     

减摇鳍模糊免疫自适应PID控制器设计及仿真研究

针对船舶横摇的非线性模型,利用免疫反馈机理,设计了一种减摇鳍模糊免疫自适应PID控制器。控制器将模糊控制与PID控制相结合,采用Fuzzy推理,对非线性函数进行模糊逼近,用模糊免疫P调节器实时整定PID控制器的比例增益,采用常规模糊控制器在线调整免疫PID控制器的积分时间常数和微分时间常数。通过对船舶减摇鳍控制系统的仿真,可以看出采用模糊免疫自适应PID控制器其控制效果远优于常规PID控制器,使减摇鳍的减摇效果得到显著提高。     

Dynamic order acceptance and capacity planning on a single bottleneck resource

We present a tactical decision model for order acceptance and capacity planning that maximizes the expected profits from accepted orders, allowing for aggregate regular as well as nonregular capacity. The stream of incoming order arrivals is the main source of uncertainty in dynamic order acceptance and the company only has forecasts of the main properties of the future incoming projects. Project proposals arrive sequentially with deterministic interarrival times and a decision on order acceptance and capacity planning needs to be made each time a proposal arrives and its project characteristics are revealed. We apply stochastic dynamic programming to determine a profit threshold for the accept/reject decision as well as to deterministically allocate a single bottleneck resource to the accepted projects, both with an eye on maximizing the expected revenues within the problem horizon. We derive a number of managerial insights based on an analysis of the influence of project and environmental characteristics on optimal project selection and aggregate capacity usage. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

The impact of component commonality on composite assembly policies

Assemble in Advance (AIA) policy reduces assembly cost due to advance planning, while Assemble to Order (ATO) policy eliminates assembly of excessive (more than demanded) units. The tradeoffs between the two policies have been studied in the past for single product environments. Moreover, it was shown that it is beneficial to employ AIA and ATO simultaneously. In this article, we study the employment of such a composite assembly policy in a multiproduct environment with component commonality. When common components are used, ATO may also enable us to benefit from the risk pooling effect. We provide important managerial insights such as: the multiperiod problem is myopic and changes in inventory levels due to the use of common components, and demonstrate the potential profit increase compared to other policies.© 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007