ISS-based robust adaptive fuzzy algorithm for maintaining a ship's track

This paper focuses on the problem of linear track keeping for marine surface vessels. The influence exerted by sea currents on the kinematic equation of ships is considered first. The input-to-state stability(ISS) theory used to verify the system is input-to-state stable. Combining the Nussbaum gain with backstepping techniques,a robust adaptive fuzzy algorithm is presented by employing fuzzy systems as an approximator for unknown nonlinearities in the system. It is proved that the proposed algorithm that guarantees all signals in the closed-loop system are ultimately bounded. Consequently,a ship's linear track-keeping control can be implemented. Simulation results using Dalian Maritime University's ocean-going training ship 'YULONG' are presented to validate the effectiveness of the proposed algorithm.     

船舶总纵极限强度模糊可靠性研究

本文以模糊数学和结构可靠性基本理论为基础,分析了传统随机可靠性理论的不足,并在常规模糊可靠性理论研究的基础上,利用模糊集合与普通集合之间的转换关系,研究了模糊变量组合时的可靠性计算方法,拓展了模糊可靠性理论的使用范围.通过对模糊可靠度计算结果分析发现,模糊可靠性理论使设计更加科学,更加符合工程实际;模糊变量组合在船舶总纵极限强度可靠性上的应用,避免了传统计算方法由于变量统计数据不足而导致的偏差,减少了很多繁复的数学运算.算例分析验证了本文方法的准确性和实用性.     

复突触神经网络模型及其稳定性研究

传统的Hopfield网络在联想记忆、优化计算方面发挥了重要作用,但该网络存在一个弊端,即它只能处理线性或二次的最优化问题。因此,本文首先对Hopfield神经网络进行了扩展,将其称为复突触神经网络(或模型),扩展的网络不仅可以解决目标函数或约束中含有高阶的最优化问题,而且还可以处理目标函数含有对数、三角形式等较复杂函数的最优化问题;然后给出了该网络稳定的充分条件并给出了证明,同时对网络中的权矩阵是否对称也进行了讨论;最后结合典型的模糊c均值聚类问题验证了该模型的有效性。     

三次映射的全局分叉与浑沌

本文研究了一维三次映射ｘ→Ｆλ（ｘ）＝ｘ＾３－λｘ的全局分叉与浑沌。证明了当λ＞１＋３√２／２时，存在一个Ｃａｎｔｏｒ集。对任何的ｎ≥３，Ｆ＾ｎλ至少产生两次鞍结分叉。每次鞍结分叉后，又有两对称的周期培化序列产生。各位化序列发生的次序十分复杂，但均有相同的Ｆｅｉｇｅｎｂａｕｍ数。同宿和异宿分叉导致了多个不同的浑沌集的形成。     

一种自学习策略及其在模糊控制与神经网络控制中的应用

提出一种新的自学习控制策略。模糊控制与神经网络控制的仿真研究证实该策略具有易于实现、在线学习、跟踪控制和一定通用性的优点，并具有满意的学习功能。     

Japanese perspective of driver information systems

A perspective view of of Japanese R&D activities of Driver Information Systems is given from the standpoint of developing joint projects by public and private sectors. First, a brief history of the R&D activities is illustrated from above mentioned standpoint. Then, two major projects, AMTICS and RACS, and the social backgrounds of these projects are explained. In order to give a clear idea of both projects some technical details are treated.Based on the history and the present status of the developments, the basic design conceptions of Japanese Driver Information Systems are explained and several factors or reasons which have influenced to the design conception are discussed. Then, the promoting systems of the R&D activities are generally explained and present status of the projects and future problems in developing more advanced systems are also handled. A brief discussion on the establishment of international standard is also mentioned as a final comment.     

基于模糊可靠性理论的高速线材轧辊优化设计研究

工作时受交变应力的作用,高速线材轧辊断裂问题时有发生.文章利用模糊可靠性理论,探讨在随机变量和模糊变量组合时轧辊的模糊可靠性设计方法.设计实例和生产实践证实了该方法具有优化设计的效果,使轧辊使用寿命显著提高.     

基于模糊因素的铁路旅客满意度的综合评价

从铁路旅客运输自身特性及旅客满意度评价特性两方面出发,通过分析铁路旅客满意度的影响因素,确定评估旅客满意度的评价指标体系。并采用模糊综合评价方法,建立了铁路旅客满意度模糊综合评价模型,结合铁路旅客问卷调查结果,对目前铁路旅客满意度水平进行了综合评价,从而为提高和改进铁路运输服务质量和服务水平、提高铁路运输的综合竞争力提供参考依据。     

港口物流园区建设风险分析与评估

根据港口物流园区建设的特点,分析其建设中存在的各类风险及风险因素,在此基础上建立了风险评估指标体系,并用模糊综合评估法对其风险水平进行了评估。     

基于粗集理论的交通控制系统研究

为满足智能交通系统高性能模糊控制器设计的需要,把粗集理论融入常规的模糊推理,提出了一种交通控制模糊建模新方法,利用粗集理论的知识推理,直接从交通系统的测量数据提取模糊规则,解决了城市交通模糊控制规则提取的瓶颈问题。实例分析表明:该方法简单有效,不仅可以最大限度地减少从交警的经验直接提取模糊规则的局限性,以获取最优的模糊模型,同时建模方法具有普遍适用性,提取的模糊规则更具客观性。该方法可以推广应用于多交叉口的模糊协调控制,对于采用复杂算法的控制系统更能显示出其优越性。