Filtering of Linear Partially Observe Stochastic Systems: The Fuzzy Logic Approach

In this paper we consider the filtering problem for a class of partially observed systems governed by linear stochastic differential equations. Using Takagi–Sugeno linear fuzzy model and assuming membership functions of Gaussian type, we have proposed minimum unbiased linear fuzzy filter, driven by the observed process, with the help of which the system states can be estimated from the observed data. Further, using calculus of variation, we have developed a set of necessary conditions of optimality on the basis of which filter parameters can be determined. Finally, numerical simulations are presented to illustrate the effectiveness of the proposed filter.     

产品的相似性推理:一种描述逻辑的方法

采用产品本体理论对设计进行本体标注,得到对应产品设计的形式化概念,在此基础上通过本体的推理——基于描述逻辑的知识推理,对产品进行分类．文中分别就设计的相似性和基于实例的设计中实例间的相似性推理提出了明确的算法,并通过实例进行了说明．     

电动车转向系统的模糊控制仿真

本仿真的背景基于全国大学生智能车竞赛,研究电动车在随机轨迹上的跟踪转向控制。由于电动车转向控制系统的不确定性,使用传统PID控制无法满足控制需求并可能产生调节振荡。模糊控制技术基于模糊数学理论,通过模拟人的近似推理和综合决策过程,使控制算法的可控性、适应性和合理性得到提高。根据电动车转向控制的特点设计了一种简化了的模糊控制器,并与传统PID控制器进行比较。通过在MATLAB下搭建传统PID控制器模型和简化了的模糊控制器模型,最终分析和比较了该模糊控制器和传统PID控制器的不同控制效果。     

A Fuzzy Logic intelligent agent for Information Extraction: Introducing a new Fuzzy Logic-based term weighting scheme

In this paper, we propose a novel method for Information Extraction (IE) in a set of knowledge in order to answer to user consultations using natural language. The system is based on a Fuzzy Logic engine, which takes advantage of its flexibility for managing sets of accumulated knowledge. These sets may be built in hierarchic levels by a tree structure. The aim of this system is to design and implement an intelligent agent to manage any set of knowledge where information is abundant, vague or imprecise. The method was applied to the case of a major university web portal, University of Seville web portal, which contains a huge amount of information. Besides, we also propose a novel method for term weighting (TW). This method also is based on Fuzzy Logic, and replaces the classical TF-IDF method, usually used for TW, for its flexibility.     

An Intelligent System to Monitor the Chemical Concentration of Electroplating Process: An Integrated OLAP and Fuzzy Logic Approach

To cope with the issue of ``brain drain' intoday's competitive industrial environment, itis important to capture relevant experience andknowledge in order to sustain the continualgrowth of company business. In this respect,the study in the domain of knowledge learningis of paramount importance in terms ofcapturing and reuse of tacit and explicitknowledge. To support the process of knowledgelearning, a methodology to establish anintelligent system, which consists of bothOn-Line Analytical Processing (OLAP) and fuzzylogic principles, is suggested. This paperattempts to propose this approach forintegrating OLAP and fuzzy logic to form anintelligent system, capitalizing on the meritsand at the same time offsetting the drawbacksof the involved technologies. In this system,the values and positions of related fuzzy setsare modified to suit the industrialenvironment, supporting smoother operation withless error. To validate the feasibility of theproposed system, a case study related to themonitoring of chemical concentration of PCBelectroplating process is covered in thepaper.     

LABVIEW中模糊逻辑工具箱在形体辨识中的应用

介绍基于LabVIEW的模糊逻辑工具箱——Fuzzy Logic for G Toolkit的使用方法,文中以辨识传送带上被传送物体的几何形体为例,介绍了建模的方法、模糊逻辑控制器的设计以及基于PC的仿真。     

模糊描述逻辑知识库查询蕴涵的判定方法

大规模领域本体的快速发展对语义Web领域的数据访问提出了更高的要求,而基本的本体推理服务已不能满足数据密集型应用中处理复杂查询(主要是合取查询)的迫切需要.为此,大量的研究工作集中在本体和描述逻辑知识库合取查询算法的设计实现上,并开发出了很多知识库存储和查询的实用工具.近来模糊本体和模糊描述逻辑的研究,特别是它们在处理语义Web中模糊信息方面,得到了广泛关注.文中重点研究了模糊SH这一族极富表达能力的描述逻辑知识库的合取查询问题,提出了相应的基于推演表的算法,证明了算法对于f-SHOIQ的真子逻辑的可靠性、完备性和可终止性.证明了算法对于f-SHOIQ是可靠的,并分析了导致算法不可终止的原因.对于该问题的数据复杂度,证明了当查询中不存在传递角色时其严格的CONP上限.对于联合复杂度,汪明了算法关于知识库和查询大小的CO3NEXPTIME时间复杂度上限.     

Selection and Setting of an Intelligent Fuzzy Regulator based on Nonlinear Model Simulations of a Helicopter in Hover

Most research on fuzzy regulators has focused on the integrating rules in intelligent control systems. This paper evaluates a fuzzy helicopter regulator for a single-rotor PZL Kania helicopter. Unlike other models which only match stable flight ability, the model presented in this paper attempts to match the links between disturbances and hover conditions. Two simulations were performed to validate the model. In the first simulation, a helicopter was evaluated in a fixed hover position. In the second simulation, model robustness was validated by introducing wind gust. Results, both with the initial and with the modified model demonstrated the viability of the proposed regulator.

Digitalizing a Fuzzy Observer-Based Output-Feedback Control: Intelligent Digital Redesign Approach

This paper concerns an intelligent digital redesign (IDR) technique for a Takagi-Sugeno fuzzy observer-based output-feedback control (FOBOFC) system. The term IDR involves converting an existing analog control into an equivalent digital counterpart in the sense of state-matching. The IDR problem is herein viewed as a minimization problem of the norm distances between nonlinearly interpolated linear operators to be matched. Its constructive condition with global rather than local state-matching is formulated in terms of bilinear matrix inequalities. The main features of the proposed method are that the state estimation error in the plant dynamics is considered in the IDR condition that plays a crucial role in the performance improvement; the stability property is preserved by the proposed IDR algorithm; the separation principle is shown when the premise variables are measurable; finally, the IDR condition for a more general FOBOFC-an estimated premise variable case is conducted. A numerical example is demonstrated to visualize the feasibility of the developed methodology     

Impulse Noise Removal From Digital Images by a Detail-Preserving Filter Based on Type-2 Fuzzy Logic

A novel image filter based on type-2 fuzzy logic techniques is proposed for detail-preserving restoration of digital images corrupted by impulse noise. The performance of the proposed filter is evaluated for different test images corrupted at various noise densities and also compared with representative conventional as well as state-of-the-art impulse noise filters from the literature. Experimental results show that the proposed filter exhibits superior performance over the competing operators and is capable of efficiently suppressing the noise in the image while at the same time effectively preserving thin lines, edges, texture, and other useful information within the image.      

Algebraic separation in realizing a linear state feedback control law by means of an adaptive observer

Based on a novel adaptive observer, which does not require signal boundedness in its stability proof, an algebraic separation property of linear state feedback control and adaptive state observation is established. This means, whenever a linear, stabilizing state feedback control law is realized with the state replaced by the state estimate of the given stable adaptive observer, then the resulting nonlinear control system is also globally asymptotically Lyapunov stable with respect to the initial state and parameter observation error of the adaptive observer. In particular, no assumptions on the system dynamics nor on the speed of the adaptation are made.     

利用MATLAB设计感应钎焊温度模糊控制系统

介绍了目前感应钎焊钛合金导管温度控制领域中存在的问题,详细叙述了如何运用MATLAB中FUZZY LOGIC TOOLBOX工具箱进行模糊控制系统设计的方法。     

Fuzzy Logic Decision Mechanism Combined with a Neuro-Controller for Fabric Tension in Robotized Sewing Process

A new approach for flexible automated handling of fabrics in the sewing process is described, which focuses to control the cloth tension applied by a robot. The proposed hierarchical robot control system includes a Fuzzy decision mechanism combined with a Neuro-controller. The expert's actions during the sewing process are investigated and this human behavior is interpreted in order to design the controller. The Fuzzy Logic decision mechanism utilizes only qualitative knowledge concerning the properties of the fabrics, in order to determine the desired tensional force and the location of the robot hand on the fabric. A Neural Network controller regulates the fabric tension to achieve the desired value by determining the robot end effector velocity. The simulation results demonstrate the efficiency of the system as well as the robustness of the controller performance since the effects of the noise are negligible. The system capabilities are more evident when the controller uses its previously acquired experience.     

用遗传算法优化模糊控制器的实现方法

该文在介绍MATLAB的遗传算法工具箱（GAOT）和模糊控制工具箱的基础上,探讨了用遗传算法来优化模糊控制器的实现方法,将这种方法用于液面控制的仿真系统中,取得了很好的效果。     

巧用Netmeeting设置网络教室

通过Netmeeting在数学演示、师生交流、作业收发三个方面的应用。阐述了用Netmeeting设置电子网络教室的方法和技巧。