基于专家系统决策的多模式控制及其应用

将专家系统技术与常规控制、模糊控制、超前控制、仿人智能操作控制以及计算机控制技术相结合,设计了一种新的基于专家系统决策的多模式控制(MCDBES)。经试验和实际运行结果表明,MCDBES系统对未知数学模型的被控对象,具有良好的控制性能。本文提出的MCDBES已成功地应用于燃油陶瓷窑炉计算机控制系统。     

A taxonomical and ecological survey of rotiffer communities in Krottensee (Austria)

The composition and distribution of benthic, periphytic and planktonic rotifers in different habitats in Krottensee were investigated. Sixty-five rotifer taxa were identified, their relative abundance estimated. Classification of the data set by cluster analysis allowed the recognition of distinct habitat groups confined to acid bog ponds, macrophytes, sediments and open water. Five groups of rotifer taxa were identified on the basis of their habitat preferences and the occurrence of the taxa. Highest diversities were found on macrophytes and in acid bog ponds.     

Integrating Uncertainty Theories with GIS for Modeling Coastal Hazards of Climate Change

Prediction of coastal hazards due to climate change is fraught with uncertainty that stems from complexity of coastal systems, estimation of sea level rise, and limitation of available data. In-depth research on coastal modeling is hampered by lack of techniques for handling uncertainty, and the available commercial geographical information systems (GIS) packages have only limited capability of handling uncertain information. Therefore, integrating uncertainty theory with GIS is of practical and theoretical significance. This article presents a GIS-based model that integrates an existing predictive model using a differential approach, random simulation, and fuzzy set theory for predicting geomorphic hazards subject to uncertainty. Coastal hazard is modeled as the combined effects of sea-level induced recession and storm erosion, using grid modeling techniques. The method is described with a case study of Fingal Bay Beach, SE Australia, for which predicted responses to an IPCC standard sea-level rise of 0.86 m and superimposed storm erosion averaged 12 m and 90 m, respectively, with analysis of uncertainty yielding maximum of 52 m and 120 m, respectively. Paradoxically, output uncertainty reduces slightly with simulated increase in random error in the digital elevation model (DEM). This trend implies that the magnitude of modeled uncertainty is not necessarily increased with the uncertainties in the input parameters. Built as a generic tool, the model can be used not only to predict different scenarios of coastal hazard under uncertainties for coastal management, but is also applicable to other fields that involve predictive modeling under uncertainty.     

闽南：台湾浅滩渔场变性水团的初步分析

根据聚类方法，对闽南－台湾浅滩渔场变性水团进行划分，本海区共有６个变性水团。讨论各个变性水团在不同季节消长变化规律。     

流形上的空间密度聚类算法研究

研究流形上的聚类分析，针对基于密度的空间聚类引入了流形概念，提出1种基于流形的密度聚类算法，该方法将流形的概念与聚类相结合，可以适用于样本为复杂分布的聚类。文中通过实例证明此算法的有效性。     

疏浚物倾倒区海水水质级别的模糊综合评价

应用模糊综合评价方法对大连臭水套海域疏浚物预选倾倒区的水质状况进行了评价，得到了有益的结论。     

Expanded adaptive fuzzy sliding mode controller using expert knowledge and fuzzy basis function expansion for UFV depth control

Generally, the underwater flight vehicle (UFV) depth control system operates with the following problems: it is a multi-input multi-output (MIMO) system, it requires robustness, a continuous control input, and further, it has the speed dependency of controller parameters. To solve these problems, an expanded adaptive fuzzy sliding mode controller (EAFSMC), which is based on the decomposition method designed by using an expert knowledge and the decoupled sub-controllers and composition method designed by using the fuzzy basis function expansions (FBFEs), is proposed. To verify the performance of the EAFSMC, the depth control of UFV in various operating conditions is performed. Simulation results show that the EAFSMC solves all problems experienced in the UFV depth control system online.     

废弃海洋桩基平台拆除方案的系统决策研究

海洋平台拆除是一项复杂的、受多种因素制约的、涉及许多技术领域的综合性系统工程。采取适当的拆除方案是工程安全、经济、环保地进行的基础和保证。针对这一问题，文章对拆除方案的评估进行了系统的研究，从环境、工艺、安全、经济、工期的角度建立了拆除方案评估指标体系，并综合运用群决策层次分析理论和模糊数学理论对拆除方案进行系统的评估。经实例验证，所建立的评估指标体系，可科学、公正、快捷地对方案进行评估，为决策者提供科学的决策基础。     

聚类分析法在浅海水团分析中的应用及黄、东海变性水团的分析

本文引入变性水团概念,用聚类分析确定黄、东海浅海海域变性水团的边界及其变化。根据给定的标准进行聚类,确定了水团的个数、边界及混合区。 由聚类方法所得结果看出,在该海区中有八个变性水团。根据温、盐相对指标,将这些水团分为九种不同的特征。也可以把这些水团划分为三种盐度类型。在温—盐点聚图上,不同变性水团的温盐点,分布于一条曲线附近,它体现出逐级变性的特点。各变性水团的变化范围都很大,这说明该海区中水团变性强烈。在暖季中的增温降盐和冷季中的降温增盐,可认为是整个黄海和东海水体变性的特征。所有季节性水团都经历一个形成与消亡的过程。 文中讨论了变性水团和海洋环境的相互关系。水团变性是热力因素和动力因素共同作用而产生的。通过变性水团的分析,作者认为,在该海区水团的变性中,热力因素起着主要作用。变性水团界线的舌状分布与流向之间的关系是很明显的,可作为分析环流的旁证。最后描述了变性水团和底层中心渔场之间的关系。