二级倒立摆的Sugeno型模糊神经网络控制

为了提高二级倒立摆系统实时控制的响应速度和稳定性,在设计Mamdani型模糊推理规则控制器控制倒立摆系统稳定的基础上,设计了一种更有效率的基于Sugeno型模糊推理规则的模糊神经网络控制器.该控制器使用BP神经网络和最小二乘法的混合算法进行参数训练.能够准确归纳输入输出量的模糊隶属度函数和模糊逻辑规则.通过与Mamdani型控制器的仿真对比及实际控制实验结果,表明该Sugeno型模糊神经网络控制器时二级倒立摆实验装置的控制具有良好的稳定性、快速性和较高的控制精度.     

Output feedback control for uncertain linear systems with faulty actuators based on a switching method

This paper investigates the problem of output feedback stabilization for a class of uncertain linear systems with faulty actuators via the synergy with a switching strategy. When actuators suffer a ‘destabilizing failure’ and the never‐faulty actuators cannot stabilize the given system, the closed‐loop exponential stability can still be achieved via the average dwell‐time scheme employing an arbitrary switching signal. The prerequisite condition found requires the ratio between the two lapse times, when the system is devoid of faulty actuators and when it is not so, to be less than a certain specified constant. Then the stabilizing output feedback controls are designed via the technique of linear matrix inequalities. The illustrative example and the respective simulation results demonstrate the feasibility and effectiveness of the proposed design synthesis. Copyright © 2008 John Wiley & Sons, Ltd.     

Intelligent Optimal-Setting Control for Grinding Circuits of Mineral Processing Process

During the operation of a grinding circuit (GC) in mineral processing plant the main purpose of control and optimal operation is to control the product quality index, namely the product particle size, into its technically desired ranges. Moreover, the grinding production rate needs to be maximized. However, due to the complex dynamic characteristics between the above two indices and the control loops, such control objectives are difficult to achieve using existing control methods. The complexity is reflected by the existence of process heavy nonlinearities, strong coupling and large time variations. As a result, the lower level loop control with human supervision is still widely used in practice. However, since the setpoints to the involved control loops cannot be accurately adjusted under the variations of the boundary conditions, the manual setpoints control cannot ensure that the actual production indices meet with technical requirements all the time. In this paper, an intelligent optimal-setting control (IOSC) approach is developed for a typical two-stage GC so as to optimize the production indices by auto-adjusting on line the setpoints of the control loops in response to the changes in boundary conditions. This IOSC approach integrates case-based reasoning (CBR) pre-setting controlling, neural network (NN)-based soft-sensor and fuzzy adjusting into one efficient control model. Although each control element is well known, their innovative combination can generate better and more reliable performance. Both industrial experiments and applications show the validity and effectiveness of the proposed IOSC approach and its bright application foreground in industrial processes with similar features.     

基于认知心理学的产品创新设计研究

根据产品设计的特点,融合认知心理学和产品设计理论,分析产品创新设计的关键属性、创造性思维模式,提出了提高产品创新设计的方向和方法。根据认知过程,对设计问题进行定义和表征,并采用不同的策略进行创新设计,建立系统化的创新设计理论。     

基于P2P技术的分布式PKI证书撤销列表发布

大规模PKI（Public Key Infrastructure）的核心在于数字证书的发放和管理,目前,PKI的管理机构一般采用证书撤消列表（Certificate Revocation List,简称CRL）的方式管理失效证书,但这些发布机制都不能有效地减低服务器端证书存储库的负荷。因此,在P2P技术的基础上,提出了一种分布式的CRL发布机制,该策略不仅在服务器端降低了峰值请求率,而且发挥了P2P网络中资源的版本越多越有利于资源的发现和共享的优点。     

基于HLA的海航作战仿真系统设计研究

首先对基于高层体系结构（HLA）的海航作战仿真系统进行了介绍和分析,在分析作战特点的基础上,依据HLA的体系结构规范,构建了海航作战仿真系统的体系结构框架,并利用统一建模语言（UML）,完成了系统对象类和交互类模型设计,研究了仿真成员代码实现的方法,对航空兵作战仿真的进一步研究和系统开发具有一定的借鉴意义。     

P2P网络中一种基于定向查询的分布式信誉系统

P2P网络中的安全问题越来越受到关注,广泛采取的策略是建立信誉系统.提出了一种基于定向查询的分布式P2P信誉系统,节点交互历史表记录与本地节点有交互经验的各节点信息,而本地节点的信誉信息分散存储在交互历史表中各节点上的信誉信息表中.信誉查询时查询节点根据被查询节点交互历史表的信息直接定向到提供被查询节点信誉信息的节点,恶意节点表和表尾信息表保证了信誉信息的安全.仿真实验的结果表明该信誉系统可以有效地减少无效交互的次数,遏制恶意节点对信誉信息的破坏.     

GUI软件测试文档辅助工具的设计与实现

GUI软件的应用越来越广泛的同时,GUI软件的测试任务变得也越来越重,如何减少GUI软件测试文档的编写负担成为一个值得关注的问题。文中介绍了一款自主研发的测试文档辅助工具AutoDoc的设计和实现,AutoDoc通过调用Windows底层的Hook消息处理函数,来监视用户操作及系统响应的各种消息,达到录制的目的。文中着重说明了工具实现过程中的解决方案,结合例子对工具进行实验,实验证明本工具可以有效地提高测试文档编写的效率。     

属性探索算法研究

Baader等人于2004～2007年将FCA方法引入描述逻辑中,建立了初步的属性探索算法。介绍了他们提出的属性探索算法,研究了该算法会产生冗余计算的可能情形。从相关性的角度提出了两种改进算法,并证明了它们的正确性。改进的算法在一定程度上避免了冗余,简化了计算。     

基于西门子PLC的ACCU轧机基础自动化系统设计与开发

该文介绍攀成钢180ACCU轧管机的基础自动化系统设计与开发,该系统采用基于西门子S7—400PLC的解决方案。文中描述了该轧管机组的工艺流程和控制系统的功能需求,并从系统选型、系统结构及软硬件配置、应用软件开发和功能特点等方面进行了详细阐述。该方案对同类型轧管机控制系统的设计与开发具有较高的参考价值。