An Adaptive Design for Six Sigma（ ADFSS ） ： a Simulated Annealing and Regression Analysis Embedded Approach

Design for six sigma (DFSS) is a powerful approach of designing products,processes,and services with the objective of meeting the needs of customers in a cost-effective manner.DFSS activities are class...     

Genetic-fuzzy HEV control strategy based on driving cycle recognition

A genetic-fuzzy HEV control strategy based on driving cycle recognition (DCR) was built. Six driving cycles were selected to represent different traffic conditions e.g. freeway, urban, suburb. A neural algorithm was used for traffic condition recognition based on ten parameters of each driving cycle. The DCR was utilized for optimization of the HEV control parameters using a genetic-fuzzy approach. A fuzzy logic controller (FLC) was designed to be intelligent to manage the engine to work in the vicinity of its optimal condition. The fuzzy membership function parameters were optimized using the genetic algorithm (GA) for each driving cycle. The result is that the DCR_fuzzy controller can reduce the fuel consumption by 1.9%, higher than only CYC_HWFET optimized fuzzy (0.2%) or CYC_WVUSUB optimized fuzzy (0.7%). The DCR_fuzzy method can get the better result than only optimizing one cycle on the complex real traffic conditions.     

Circuit-level simulation of the hysteresis inversion frequency of the ferroelectric liquid crystals

The V-shaped electro-optical properties control is investigated by an equivalent circuit model.Simu- lation results show that genuine V-shaped form is only observed at hysteresis inversion frequency,and be- low and above this frequency an anomalous and normal hysteresis are observed.And the inversion fre- quency decreases with the resistance of ferroelectric liquid crystal(FLC)layer following logf_i=- alogR_(LC)+b .The results are in good accordance with the reported experimental results.     

基于标准可加性模型的模糊控制算法仿真研究

基于标准可加性模型（SAM）的模糊控制算法及自学习SAM算法是一种适合工业控制应用的模糊控制方式，并且通过自学习可以对控制器的输入输出参数进行修正，从而使该算法综合了模糊控制和神经网络控制的各自优点，仿真表明该算法能对被控对象实现有效的控制，且具有较强的鲁棒性。     

电站载物爬楼机器人的动态稳定性建模与控制

针对电站载物爬楼机器人动态稳定性的控制问题,根据爬楼特点归纳出机器人可能出现的运动模式,并利用几何与运动学等关系构建被控对象的数学模型。根据电站载物爬楼机器人上下两部分的重心距离与期望距离间的误差、误差变化率及电动推杆伸缩速度之间的关系,设计动态稳定性控制系统的控制器,即一型模糊逻辑控制器(1 type of fuzzy logic,T1FLC)。针对模糊规则参数难以确定的问题,通过量子粒子群优化(quantum particle swarm optimization,QPSO)算法优化隶属度函数参数,将QPSO优化的T1FLC与粒子群优化(particles swarm optimization, PSO)算法优化的T1FLC、未优化的T1FLC、比例-积分-微分(proportion-integral-derivative, PID)控制方法进行对比,并进一步考虑外部干扰的影响。仿真和实验结果验证了模型的准确性及控制优化方法的有效性。     

Project Scheduling Using Hybrid Genetic Algorithm with Fuzzy Logic Controller in SCM Environment

In supply chain management (SCM) environment, we consider a resource-constrained project scheduling problem (rcPSP) model as one of advanced scheduling problems considered by a constraint programming technique. We develop a hybrid genetic algorithm (hGA) with a fuzzy logic controller (FLC) to solve the rcPSP which is the well known NP-hard problem. This new approach is based on the design of genetic operators with FLC through initializing the serial method which is superior for a large rcPSP scale. For solving these rcPSP problems, we first demonstrate that our hGA with FLC (flc-hGA) yields better results than several heuristic procedures presented in the literature. We have revealed a fact that flc-hGA has the evolutionary behaviors of average fitness better than hGA without FLC.     

一种智能控制算法的实现方法-ActiveX控件

介绍了智能算法的ActiveX控件的实现方法，并用DELPHI语言实现了自调整因子模糊控制器的算法，同时进行了其在Kingview监控软件环境下的应用研究。实践结果表明，ActiveX控件是实现智能控制的一种很实用的技术。     

Macro-circuit simulation and optimal design for ferroelectric liquid crystal based on dielectric properties

A macro-circuit equivalent model for ferroelectric liquid crystal(FLC)is proposed.The model includes both effects of ferroelectric torque and dielectric torque and is utilized to simulate the switching response and memory behavior of a single FLC cell.Simulation results show that the delay time has a minimum while increasing the amplitude of drive voltage and the amplitude of bipolar pulses should be controlled within a certain range to realize the memory behavior.Also the switching angle is successfully enhanced to the reference value of 22.5°by adopting"AC stabilization"addressing method.     

Characterization of a new mutant allele of the Arabidopsis Flowering Locus D （FLD） gene that controls the flowering time by repressing FLC

Flowering in higher plants is controlled by both the internal and environmental cues. In Arabidopsis, several major genetic loci have been defined as the key switches to control flowering. The Flowering Locus C （FLC） gene has been shown in the autonomous pathway to inhibit the vegetative-to-reproductive transition. FLC appears to be repressed by Flowering Locus D （FLD）, which encodes a component of the histone deacetylase complex. Here we report the identification and characterization of a new mutant allele f/d-5. Genetic analysis indicates that fld-5 （in the Wassilewskija background） is allelic to the previously characterized fld-3 and fld-4 （in the Colombia-0 background）. Genetic and molecular analyses reveal that fld-5 carries a frame-shift mutation, resulting in a premature termination of the FLD open reading frame. The FLC expression is remarkably increased in fld-5, which presumably attributes to the extremely delayed flowering phenotype of the mutant.     

基于模糊变结构控制设计一种鲁棒主动队列管理算法

基于模糊逻辑控制(FLC)提出了一种主动队列管理(AQM)算法.该算法将滑模控制器(SMC)和PI控制器相结合,综合了二者的优点,既对网络模型的不确定性、网络参数的时变性以及非TCP流所引起的网络抖动具有很强的鲁棒性,又可以通过PI控制使稳态误差最小.仿真结果表明该算法可以获得好的暂态和稳态响应,结果也表明在网络条件变化的情况下,该算法优于传统的PI控制和传统的变结构控制.