The General Machining Process Simulator GMPS

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A Study of the Effect of Functional Subcultures on the Performance of Hong Kong Construction Companies

As some theorists regard organizational culture as ambiguities, this study attempts to prove that ambiguities are actually the resultant overview of interacting and dissimilar functional subcultures. Therefore, study of the effect of culture on performance should focus on the subculture system instead of the illusive and probably non-existing unitary corporate culture. To this end, a consensual structural framework that effectively demarcates the boundaries of subcultures is needed. By using the Viable System Model as a structural framework for the demarcation of functional subcultures, a questionnaire survey on construction professionals in Hong Kong was conducted. Statistical analysis results indicate that corporate culture could be better understood as a system of functional subcultures that correspond to the five functions of the viable system model. It is further noted that the strength of some functional subculture variables associates differently and significantly with organizational performance.     

Chaos and Nonlinear Feedback Control of the Arch Micro-Electro-Mechanical System

This paper addresses a nonlinear feedback control problem for the chaotic arch microelectro- mechanical system with unknown parameters, immeasurable states and partial state-constraint subjected to the distributed electrostatic actuation. To reflect inherent properties and design controller, the phase diagrams, bifurcation diagram and Poincare section are presented to investigate the nonlinear dynamics. The authors employ a symmetric barrier Lyapunov function to prevent violation of constraint when the arch micro-electro-mechanical system faces some limits. An RBF neural network system integrating with an update law is adopted to estimate unknown function with arbitrarily small error. To eliminate chaotic oscillation, a neuro-adaptive backstepping control scheme fused with an extended state tracking differentiator and an observer is constructed to lower requirements on measured states and precise system model. Besides, introducing an extended state tracking differentiator avoids repeated derivative for the virtual control signal associated with conventional backstepping. Finally, simulation results are presented to illustrate feasibility of the proposed scheme.     

Data-Driven Leader-Follower Output Synchronization for Networked Non-Linear Multi-Agent Systems with Switching Topology and Time-Varying Delays

This paper studies the output synchronization problem for a class of networked non-linear multi-agent systems with switching topology and time-varying delays. To synchronize the outputs, a leader is introduced whose connectivity to the followers varies with time, and a novel data-driven consensus protocol based on model free adaptive control is proposed, where the reference input of each follower is designed to be the time-varying average of the neighboring agents’ outputs. Both the case when the leader is with a prescribed reference input and the case otherwise are considered. The proposed protocol allows for time-varying delays, switching topology, and does not use the agent structure or the dynamics information implicitly or explicitly. Sufficient conditions are derived to guarantee the closed-loop stability, and conditions for consensus convergence are obtained, where only a joint spanning tree is required. Numerical simulations and practical experiments are conducted to demonstrate the effectiveness of the proposed protocol.     

多阶段投资决策问题的一种智能化求解方法

对多阶段投资决策问题进行研究，建立一种极小化跟踪投资回报率与目标回报率偏差的多阶段投资决策模型，并将随机模拟、遗体算法和神经网络集成在动态规划之中，设计给出一种智能化的求解方法，能求得反馈形式的最优投资策略。本文给出的方法克服了传统求解方法的局限性，具有现实意义，经算例仿真验证了算法的可行性。     

供应链中的税后净收入模型及其优化

分析并建立了一个单产品生产 -销售供应链中总税后净收入优化模型 ,考虑了转移价格、运输成本分配、税收政策、最小经济订货批量、资金分配等问题 ,其中产品转移价格和销售量的可调整部分 ,以及运输成本分配是决策变量。应用进化规划算法进行了仿真计算 ,结果表明利用不同的税收政策 ,调整转移价格和运输成本分配可优化总公司的税后净收入 ,并实现供应链的关系协调以及资金的再分配     

系统可靠性优化的离散多目标决策方法

工程实际中 ,人们往往在追求系统的可靠性达到最大的基础上 ,又追求系统的造价到达最小。另外 ,系统中单元的可靠性有时需从给定的离散集中选取。针对上述现象 ,提出了离散多目标决策方法 ,用于选取大型复杂系统中单元可靠性的最优值。算例表明所提出文方法有效     

基于多层次MRF的多分辨率图像融合算法

图像数据融合的目的是恢复出分布在不同图像中的有用信息。在多层次MRF模型的基础上提出了一种多分辨率图像融合算法。该算法将定义在多层次图结构上的非线性因果Markov模型与贝叶斯SMAP(sequenti almaximumaposteriori)准则结合起来 ,弥补了MAP(maximumaposteriori)准则在多层次图结构上计算不合理的缺陷。实验部分中 ,对两种算法用于被高斯白噪声污染的合成图像的恢复结果进行了比较 ,并将该算法用于实际的多分辨率航空图像。实验结果表明了该算法的优越性。     

A Heuristic Algorithm for QoS Multicast Routing

In recent years, QoS multicast routing has continued to be a very important research topic in the areas of networks. This paper presents a heuristic algorithm for the QoS multicast routing (HAQMR). This heuristic algorithm deals with delay and bandwidth constraints and has low cost. The HAQMR attempts to significantly reduce the overhead for constructing a multicast tree, the proof for correctness of the HAQMR is given, and the performance of the HAQMR is evaluated by simulations. The study shows that HAQMR provides an available approach to QoS multicast routing.