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Learning fuzzy logic based intelligent determination of feedrate for end milling operation 基于学习模糊逻辑的立铣刀进给速度智能确定
Xiankun Lin, Aiping Li, Weimin Zhang
Feasible feedrate plays an important role in improving machining efficiency in end milling operation, but it needs complicated calculation to acquire the value. The paper presents a learning fuzzy logic based approach for intelligent determination of the condition. Limitations about rule-based expert system in selection of machining parameters for milling process are summarized and discussed. Then a learning fuzzy logic based inference model is brought forth as an intelligent feedrate selection engine according to three machining conditions: tool diameter, cutting depth and material hardness. A method composed with artificial neural network and data cluster is applied to obtain the inference knowledge for the fuzzy logic model. In the end, an illustration is given to show the applicability of the proposed approach. The results show good performance in determination of the parameter. A conclusion is reached that the reasoning logic can provide a new measure in intelligent selection of feedrate for end milling process
在立铣削加工中,可行进给速度对提高加工效率起着重要作用,但其数值计算复杂。提出了一种基于学习模糊逻辑的工况智能判定方法。总结并讨论了基于规则的专家系统在铣削加工参数选择中的局限性。然后根据刀具直径、切削深度和材料硬度三种加工条件,提出了基于学习模糊逻辑的推理模型作为智能进给速度选择引擎。采用人工神经网络和数据聚类相结合的方法获取模糊逻辑模型的推理知识。最后,通过实例说明了所提方法的适用性。结果表明,该方法在参数确定方面具有良好的性能。结果表明,该推理逻辑可为立铣削过程进给速度的智能选择提供一种新的手段
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引用次数: 3
Bankruptcy Liquidation Model 破产清算模式
Ling Li, F. Deng
As a competitive mechanism of only the fittest survives, bankruptcy is a common business phenomenon. Allocation of bankruptcy property is an issue of concern to many scholars. Bankruptcy liquidation models are often deficient. In this paper, based on complete information of creditors' claims, their maximum expectation and minimum requirements, creditors' utility functions are improved. Utility functions are the keys of allocation rules. The liquidation model constructed in this paper provides the specific bankruptcy problems only a unique distribution result. The result is stable, every creditor are equal at satisfaction degree. That is to say, the allocation rule is impartial
作为一种优胜劣汰的竞争机制,破产是一种普遍的商业现象。破产财产的分配是许多学者关注的问题。破产清算模式往往存在缺陷。本文基于债权人债权的完全信息、最大期望和最小要求,对债权人效用函数进行了改进。效用函数是分配规则的关键。本文所构建的清算模型对于具体的破产问题只提供了一个唯一的分配结果。结果是稳定的,每个债权人在满意程度上是平等的。也就是说,分配规则是公正的
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引用次数: 0
Enterprise Website Topic Modeling and Web Resource Search 企业网站主题建模与网络资源搜索
Baoli Dong, Huimei Liu
Domain-specific Web resource discovery is a key issue for resources sharing and reuse. Considering the text semantic information inside enterprise sites reflects the Web site structures and textual content feature, a novel Web site topic feature modeling method are presented in this paper. The Web site classification algorithm on the basis of the hybrid vector employs the effective kind of support vector machine (SVM). Manufacturing enterprise Web site search from the Web is implemented to verify the classification performances. Moreover, the accuracy and efficiency of enterprise sites search are improved by revised search strategies. Finally, a prototype system of Web enterprise resource service is introduced. It preliminarily demonstrates that this method is of good applicability for specific Web resource discovery
特定于领域的Web资源发现是资源共享和重用的关键问题。考虑到企业网站内部的文本语义信息反映了网站的结构和文本内容特征,提出了一种新的网站主题特征建模方法。基于混合向量的网站分类算法采用了一种有效的支持向量机。实现了对制造企业网站的Web搜索,验证了分类性能。此外,通过改进搜索策略,提高了企业网站搜索的准确性和效率。最后,介绍了一个Web企业资源服务的原型系统。初步证明了该方法对特定Web资源的发现具有较好的适用性
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引用次数: 4
A Learning Classifier System Approach to Clustering 聚类的一种学习分类器系统方法
K. Tamee, L. Bull, O. Pinngern
This paper presents a novel approach to clustering using a simple accuracy-based learning classifier system. Our approach achieves this by exploiting the evolutionary computing and reinforcement learning techniques inherent to such systems. The purpose of the work is to develop an approach to learning rules which accurately describe clusters without prior assumptions as to their number within a given dataset. Favourable comparisons to the commonly used k-means algorithm are demonstrated on a number of datasets
本文提出了一种新的聚类方法,使用一个简单的基于精度的学习分类器系统。我们的方法通过利用这种系统固有的进化计算和强化学习技术来实现这一目标。这项工作的目的是开发一种学习规则的方法,该规则可以准确地描述集群,而无需事先假设给定数据集中集群的数量。在许多数据集上证明了与常用的k-means算法的有利比较
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引用次数: 11
A System for Landscape Photograph Localization 景观照片定位系统
Tetsuya Suzuki, T. Tokuda
We present a system which supports localization of landscape photographs. Localization of a photograph is to assign the camera parameters to the photograph. The parameters are the camera's position, direction, focus and film size to take the photograph. An application of the system is metadata generation for location oriented search systems. Target photographs for the system are landscape photographs such that terrain in the photographs is enough characteristic to specify the locations. We describes features of photographic objects and a search area to define a search problem. The system takes the problem definition and an initial solution set as its input, and improves the solutions by a specified algorithm. We can use a genetic algorithm and a local search algorithm as the algorithm. Key points to the system are what we can describe to define search problems, and how effectively the system searches good solutions. Two evaluation experiments under an ideal condition shows that its expressiveness is enough and the system can find appropriate solutions effectively.
提出了一种支持风景照片定位的系统。照片的本地化是将相机参数分配给照片。参数是相机的位置,方向,焦距和胶卷尺寸拍摄照片。该系统的一个应用是为面向位置的搜索系统生成元数据。该系统的目标照片是风景照片,这样照片中的地形就有足够的特征来指定位置。我们描述了摄影对象和搜索区域的特征来定义搜索问题。该系统以问题定义和初始解集为输入,通过指定的算法对解进行改进。我们可以使用遗传算法和局部搜索算法作为算法。系统的关键点是我们可以描述什么来定义搜索问题,以及系统如何有效地搜索好的解决方案。在理想条件下进行的两次评价实验表明,该系统具有足够的表达能力,能够有效地找到合适的解。
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引用次数: 2
A model and dynamics for reticulated supply chain based on multi-agent system 基于多智能体系统的网状供应链模型与动力学
Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.253735
Lei Zhang, Yi-jun Li, Yaoxuan Xu
In essence, supply chain is a dynamic complex system that is composed of a multiplicity of entities with independent decision-making ability. Traditional models, such as chain-shaped, radial-shaped and so on, are not fit for this complex setting any more. This paper models a multi-agent based reticulated supply chain, which well describes the relationship among the goods flow, capital flow and information flow exiting in the supply-demand, enterprise groups and virtual factories which are the elements of supply chain. Taking a two-agent system for example, this paper studies the chaos in supply chain through calculation and simulation of Lyapunov exponent, power spectrum and correlation dimension, and also pioneers the study of its application prospect in flexible production, providing a new illuminating insight into supply chain management
从本质上讲,供应链是一个动态的复杂系统,是由众多具有独立决策能力的实体组成的。传统的链形、放射形等模型已经不适合这种复杂的环境。本文建立了一个基于多智能体的网状供应链模型,很好地描述了供应链中存在于供需关系中的货流、资金流和信息流、企业集团和虚拟工厂之间的关系。本文以双智能体系统为例,通过李雅普诺夫指数、功率谱和相关维数的计算与仿真,研究了供应链中的混沌问题,并开创了其在柔性生产中的应用前景研究,为供应链管理提供了新的启发性见解
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引用次数: 3
Robust Stabilization of Wheeled Mobile Robots Moving on Uncertain Uneven Surface 不确定不平路面上轮式移动机器人的鲁棒镇定
Xiaocai Zhu, Guohua Dong, D. Hu, Zixing Cai
A solution is presented to the robust control problem of wheeled mobile robots moving on an uneven surface that is not exactly known. Quadratic surface with unknown but bounded coefficients is utilized to locally approximate the uneven surface. The design procedure is based on the transverse function method, integrator backstepping, and Lyapunov redesign technique. After exploring the left-invariance property of the kinematic subsystem of the wheeled mobile robots with respect to the standard group operation of the Lie group SE(2) we use transverse function to derive smooth "virtual" control laws which render the error subsystem exponentially stable. Then, the integrator backstepping technique is applied to the nominal dynamic system due to the smoothness of the "virtual" control laws. Finally, a Lyapunov redesign component is constructed to handle the gravity disturbance caused by the surface. Driven by the proposed control laws, the wheeled mobile robot has the ability to adapt to varying uneven surface condition. Some simulations are provided to validate the effectiveness of the algorithm
针对轮式移动机器人在不均匀表面上运动的鲁棒控制问题,提出了一种解决方案。利用系数未知但有界的二次曲面局部逼近不均匀曲面。设计过程基于横向函数法、积分器反演和李亚普诺夫再设计技术。在研究了轮式移动机器人运动子系统相对于李群SE(2)的标准群操作的左不变性后,利用横向函数推导出平滑的“虚”控制律,使误差子系统指数稳定。然后,利用“虚拟”控制律的平滑性,将积分器反演技术应用于标称动态系统。最后,构造了Lyapunov再设计分量来处理由地表引起的重力扰动。在该控制律的驱动下,轮式移动机器人具有适应不同不平路面条件的能力。仿真结果验证了该算法的有效性
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引用次数: 5
Multi-rate Multivariable Model Predictive Control For Integrating Processes 积分过程的多速率多变量模型预测控制
Jianfeng Li, Lifang Zhou
In this paper, the multi-rate multivariable system in which outputs measured are less frequently than inputs updated is studied. By lifting technique, the model predictive control for multi-rate multivariable integrating system is proposed. The controller is based on a state-space model in which the output is represented as a continuous function of time. Taking advantage of this particular model form, the cost functions is defined in terms of the integral of the output error along an infinite prediction horizon. The methods are verified by the application of the proposed approach to an integrating example
本文研究了输出测量频率小于输入更新频率的多速率多变量系统。利用提升技术,提出了多速率多变量积分系统的模型预测控制。控制器基于状态空间模型,其中输出表示为时间的连续函数。利用这种特殊的模型形式,成本函数被定义为沿无限预测范围的输出误差的积分。通过一个积分算例验证了所提方法的有效性
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引用次数: 0
Solution for Dynamics Equations of Control Systems with Time-delay by Precise Integral Algorithm 用精确积分算法求解时滞控制系统动力学方程
Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.253823
Chuanbo Ren, Xiangtao Tian
The dynamic system with time-delay exists in various engineering fields. A delayed controlled machine system can be dispersed into an ordinary differential equation with time-delay. The precise integral algorithm used in the paper is a new method for finding the solution of time-delay dynamics systems. Disperse the system equation by treating the delay term as power term, and get the discrete solution by discussing the integral limitations and by linear interpolation and Romberg integral. The comparison with other algorithms reveals that the proposed method is of very simple course and of high accuracy
具有时滞的动态系统存在于各个工程领域。时滞控制机床系统可以离散成具有时滞的常微分方程。本文所采用的精确积分算法是求解时滞动力学系统的一种新方法。将时滞项作为幂项对系统方程进行离散,通过讨论积分限制,采用线性插值和Romberg积分得到离散解。与其他算法的比较表明,该方法过程简单,精度高
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引用次数: 0
Simple Generalized Predictive Control Algorithm with Stability Design 具有稳定性设计的简单广义预测控制算法
Pub Date : 2006-10-16 DOI: 10.1109/ISDA.2006.253833
Huan Wei, Jingjie Jiang, X.-Z. Zhen, Lideng Pan, G. Wen
For some open loop unstable processes a simple generalized predictive control algorithm with stability design is proposed. The open loop system is stabilized using the pole placement method. For this generalized stable system the simple generalized predictive control algorithm is got which can guarantee the closed loop stability. It reduces the heavy computational load as used in conventional prediction techniques. It has one parameter with certain sense and is easy to implement. It can deal with the unstable and nonminimum phase systems with time delay. The simulations compared with the standard generalized predictive control algorithm for several unstable processes show the controller performance
针对一些开环不稳定过程,提出了一种具有稳定性设计的简单广义预测控制算法。采用极点放置法稳定开环系统。对于该广义稳定系统,给出了保证闭环稳定的简单广义预测控制算法。它减少了传统预测技术中大量的计算量。它只有一个具有一定意义的参数,易于实现。它可以处理不稳定和非最小相位时滞系统。对几种不稳定过程与标准广义预测控制算法进行了仿真比较,验证了该控制器的性能
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Sixth International Conference on Intelligent Systems Design and Applications
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