基于模糊推理的人工气候室温度PID控制器参数的整定

具有较大容积的人工气候室温度控制是一个典型的大时滞、非线性复杂控制问题,应用基于模型的控制理论来进行分析和综合非常困难。运用模糊数学的基本理论和方法,提出了一种基于模糊推理的PID控制器参数自动整定方法。该方法将难以定量描述的参数调整经验用模糊集合来表示,并把对应的模糊推理规则作为知识存入控制器中,控制器根据控制系统的实际运行情况,在实现对PID参数的自动调整。实验表明,提出的模糊PID控制器参数整定方法,适合于具有较大可控率的人工气候室温度控制系统设计,在同类控制系统设计中具有先进性。     

Fixed points of asymptotic contractions

Let be a contractive gauge function in the sense that φ is continuous, φ(s)<s for s>0, and if f:M→M satisfies d(f(x),f(y))?φ(d(x,y)) for all x,y in a complete metric space (M,d), then f always has a unique fixed point. It is proved that if T:M→M satisfies

     

基于实例推理技术的个性电子产品设计研究

为提高企业满足小批量定制的个性化电子设计需求,快速、高质、低成本地进行产品开发,将实例推理技术(CBR)引入其中,通过分析历史设计实例与当前新产品设计要求间的相似度,提取最相似实例,并采用基于知识的优化技术实现方案优化,使之适合当前设计要求。该方法集成企业多年积累的成功设计实例、设计经验和设计知识,提高了产品设计的智能性和实用性,这是人工智能CAD技术在电子产品制造中的新发展。     

基于模拟退火算法的对数周期偶极天线相位中心计算

采用模拟退火算法(SA)结合矩量法精确计算对数周期偶极天线(LPDA)的视在相位中心,并对某LPDA的视在相位中心随不同频率的变化特性进行了分析,给出了天线E面和H面半功率波瓣宽度内的相位方向图.良好的计算结果表明,该方法是有效的.     

Cut generation for an integrated employee timetabling and production scheduling problem

This paper investigates the integration of the employee timetabling and production scheduling problems. At the first level, we manage a classical employee timetabling problem. At the second level, we aim at supplying a feasible production schedule for a set of interruptible tasks with qualification requirements and time-windows. Instead of hierarchically solving these two problems as in the current practice, we try here to integrate them and propose two exact methods to solve the resulting problem. The former is based on a Benders decomposition while the latter relies on a specific decomposition and a cut generation process. The relevance of these different approaches is discussed here through experimental results.     

MATHEMATICAL ANALYSIS OF MUTATION OPERATOR AND ITS IMPROVED STRATEGY IN GENETIC ALGORITHMS

This paper analyzes the optimization problem of mutation probability in genetic algorithms by applying the definition of i-bit improved sub-space. Then fuzzy reasoning technique is adopted to determine the optimal mutation probability in different conditions. The superior convergence property of the new method is evaluated by applying it to two simulation examples.     

Approximate colored range and point enclosure queries

In this paper, we formulate two classes of problems, the colored range query problems and the colored point enclosure query problems to model multi-dimensional range and point enclosure queries in the presence of categorical information. Many of these problems are difficult to solve using traditional data structural techniques. Based on a new framework of combining sketching techniques and traditional data structures, we obtain two sets of results in solving the problems approximately and efficiently. In addition, the framework can be employed to attack other related problems by finding the appropriate summary structures.     

A modification of a solution concept of the linear programming problem with interval coefficients in the constraints

We propose a modification of a concept of solving a linear programming problem with interval coefficients in the constraints. The original concept imposes the decision maker a way comparing intervals, our modification—which is an interactive approach, comprising the original one as its special case—gives him more freedom in the choice of the preference relation. Thanks to this flexibility he may be able to find a solution which better suits his needs and attitude towards risk. What is more, our modification corrects a serious drawback of the original method.     

Simulation with system dynamics and fuzzy reasoning of a tax policy to reduce CO2 emissions in the residential sector

This methodological paper presents a planning and control methodology illustrated by a simplified case study on the carbon-tax design in the residential sector. The first objective is to show how to simulate with system dynamics the consumers’ behaviour and the continuous tax-control mechanism depending on few important feedbacks, often ignored in static macroeconomic modelling. A second objective is to show how to aggregate external data driving this model and stemming from different sources with various credibility levels. This is realised by means of fuzzy-reasoning techniques incorporated into the system-dynamics model.