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fuzzy Evaluation of Thermal Comfort in Naturally Ventilated Residential Buildings in China

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湖南大学学报（自然科学版） 2009年第S1期36卷 71-74页

作者： WANG Yi1,NIU Tian-cai1,LIU Jia-ping2,XIAO Yong-qiang2,3(1.School of Environmental and Municipal Engineering,Xi’an University of Architecture and Technology,Xi’an,Shaanxi 710055,China 2.School of Architecture,Xi’an University of Architecture and Technology,Xi’an,Shaanxi 710055,China 3.School of Physical Education,Xi’an University of Architecture and Technology,Xi’an,Shaanxi 710055,China) School of Environmental and Municipal Engineering Xi'an University of Architecture and Technology Xi'an 710055 China School of Architecture Xi'an University of Architecture and Technology Xi'an 710055 China School of Physical Education Xi'an University of Architecture and Technology Xi'an 710055 China

In order to assess the differences between the human body thermal sensation in naturally ventilated space and that in air-conditioned space,the fuzzy evaluation model was adopted in the research of thermal sensation in naturally ventilated *** on the questionnaires and field measurements,the membership functions were presented by the statistic of the covering frequency to the fuzzy ***-bulb temperature was taken as the only independent variable for membership *** maximum values of membership grades are all at 0.5 or so,which is a distinction character on thermal comfort of naturally ventilated *** the calculating results of membership grades value to different fuzzy evaluation subsets,the Predicted Mean Vote(PMV)was ***,energy coefficient(Ea)was introduced to calculate the energy consumption,and the prediction methods of residential building energy consumption were also ***,the importance of evaluation model of thermal sense is shown through the energy consumption prediction in a specific residential building.

关键词： natural ventilated space thermal sensation fuzzy evaluation membership functions

fuzzy mathematics and game theory based D2D multicast network construction

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Journal of Systems Engineering and Electronics 2019年第1期30卷 13-21页

作者： LI Zhuoming CHEN Xing ZHANG Yu WANG Peng QIANG Wei LIU Ningqing School of Electronics and Information Engineering Harbin Institute of Technology School of Computer Science and Technology Harbin Institute of Technology

Device to device(D2 D) multi-hop communication in multicast networks solves the contradiction between high speed requirements and limited bandwidth in regional data sharing communication services. However, most networking models demand a large control overhead in eNodeB. Moreover, the topology should be calculated again due to the mobility of terminals, which causes the long delay. In this work, we model multicast network construction in D2 D communication through a fuzzy mathematics and game theory based algorithm. In resource allocation, we assume that user equipment(UE) can detect the available frequency and the fuzzy mathematics is introduced to describe an uncertain relationship between the resource and UE distributedly, which diminishes the time delay. For forming structure, a distributed myopic best response dynamics formation algorithm derived from a novel concept from the coalitional game theory is proposed, in which every UE can self-organize into stable structure without the control from eNodeB to improve its utilities in terms of rate and bit error rate(BER) while accounting for a link maintenance cost, and adapt this topology to environmental changes such as mobility while converging to a Nash equilibrium fast. Simulation results show that the proposed architecture converges to a tree network quickly and presents significant gains in terms of average rate utility reaching up to 50% compared to the star topology where all of the UE is directly connected to eNodeB.

关键词： device to device (D2D) communication multicast network fuzzy logic game theory tree architecture

fuzzy Torque Control of the Bionic Flexible Manipulator Actuated by Pneumatic Muscle Actuators

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Chinese Journal of Mechanical Engineering 2019年第5期32卷 80-94页

作者： Kai Liu Yining Chen Jiaqi Xu Yang Wu Yonghua Lu Dongbiao Zhao College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and Astronautics

A bionic flexible manipulator driven by pneumatic muscle actuator(PMA)can better reflect the flexibility of the *** research on PMA mainly focuses on the modeling and control strategy of the pneumatic manipulator *** with traditional electro-hydraulic actuators,the structure of PMA is simple but possesses strong nonlinearity and flexibility,which leads to the difficulty in improving the control *** this paper,the configuration design of a bionic flexible manipulator is performed by human physiological map,the kinematic model of the mechanism is established,and the dynamics is analyzed by Lagrange method.A fuzzy torque control algorithm is designed based on the computed torque method,where the fuzzy control theory is *** hardware experimental system is *** the co-simulation contrast test on MATLAB and ADAMS,it is found that the fuzzy torque control algorithm has better tracking performance and higher tracking accuracy than the computed torque method,and is applied to the entity control *** experimental results show that the fuzzy torque algorithm can better control the trajectory tracking movement of the bionic flexible *** research proposes a fuzzy torque control algorithm which can compensate the error more effectively,and possesses the preferred trajectory tracking performance.

关键词： Pneumatic muscle actuator Bionic flexible manipulator Computed torque method fuzzy torque control

fuzzy Chaos Control for Vehicle Lateral Dynamics Based on Active Suspension System

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Chinese Journal of Mechanical Engineering 2014年第4期27卷 793-801页

作者： HUANG Chen CHEN Long JIANG Haobin YUAN Chaochun XIA Tian School of Automobile and Traffic Engineering Jiangsu University

The existing research of the active suspension system（ASS） mainly focuses on the different evaluation indexes and control strategies. Among the different components, the nonlinear characteristics of practical systems and control are usually not considered for vehicle lateral dynamics. But the vehicle model has some shortages on tyre model with side-slip angle, road adhesion coefficient, vertical load and velocity. In this paper, the nonlinear dynamic model of lateral system is considered and also the adaptive neural network of tire is introduced. By nonlinear analysis methods, such as the bifurcation diagram and Lyapunov exponent, it has shown that the lateral dynamics exhibits complicated motions with the forward speed. Then, a fuzzy control method is applied to the lateral system aiming to convert chaos into periodic motion using the linear-state feedback of an available lateral force with changing tire load. Finally, the rapid control prototyping is built to conduct the real vehicle test. By comparison of time response diagram, phase portraits and Lyapunov exponents at different work conditions, the results on step input and S-shaped road indicate that the slip angle and yaw velocity of lateral dynamics enter into stable domain and the results of test are consistent to the simulation and verified the correctness of simulation. And the Lyapunov exponents of the closed-loop system are becoming from positive to negative. This research proposes a fuzzy control method which has sufficient suppress chaotic motions as an effective active suspension system.

关键词： chaos control fuzzy active suspension system vehicle lateral dynamics

fuzzy rule based seismic risk assessment of one-story precast industrial buildings

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Earthquake Engineering and Engineering Vibration 2019年第3期18卷 631-648页

作者： Mehmet Palanci Istanbul Arel University Department of Civil Engineering

Effi cient tools capable of using uncertain data to produce fast and approximate results are more practical in rapid decision-making applications when compared to conventional methods. From this point of view, this study introduces a risk assessment model for one-story precast industrial buildings by fuzzy logic which builds a bridge between uncertainty and precision. The input, output and relations of the fuzzy based risk assessment model (FBRAM) were determined by reference buildings. The Monte Carlo simulation method was used to handle uncertainties associated with the structural characteristics of the reference buildings. Section dimension, longitudinal reinforcement ratio, column height related to building elevation, confi nement ratio and seismic hazard are regarded as input and the plastic demand ratio is considered as the output parameter by the mathematical formulation of strength and deformation capacity of the buildings. The supervised learning method was used to determine the membership function of fuzzy sets. fuzzy rules of FBRAM were constructed from Monte Carlo simulation by mapping of inputs and output. FBRAM was evaluated by a group of simulated buildings and two existing precast industrial buildings. Comparisons have shown signifi cant agreement with analytical model results in both cases. Consequently, it is anticipated that the proposed model can be used for the seismic risk mitigation of precast buildings.

关键词： fuzzy logic supervised learning precast buildings risk assessment Monte Carlo simulation

fuzzy Adaptive Control of a Fractional Order Chaotic System With Unknown Control Gain Sign Using a Fractional Order Nussbaum Gain

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IEEE/CAA Journal of Automatica Sinica 2019年第3期6卷 816-823页

作者： Khatir Khettab Samir Ladaci Yassine Bensafia IEEE the Electrical Engineering Department University of Mohamed Boudiaf M’sila 28000 Algeria Electrical Engineering Department University of Skikda the EEA Department National Polytechnic School of Constantine B. P. 75 A Ali Mendjli 25000 Constantine Algeria SP-Lab Laboratory Department of Electronics Mentouri University Yassine Bensafia is with the Electrical Engineering Department University of Bouira

In this paper we propose an improved fuzzy adaptive control strategy, for a class of nonlinear chaotic fractional order(SISO) systems with unknown control gain sign. The online control algorithm uses fuzzy logic sets for the identification of the fractional order chaotic system, whereas the lack of a priori knowledge on the control directions is solved by introducing a fractional order Nussbaum gain. Based on Lyapunov stability theorem, stability analysis is performed for the proposed control method for an acceptable synchronization error level. In this work, the Gr ¨unwald-Letnikov method is used for numerical approximation of the fractional order systems. A simulation example is given to illustrate the effectiveness of the proposed control scheme.

关键词： Adaptive fuzzy control chaos synchronization fractional order Nussbaum function Lyapunov stability nonlinear fractional order systems

fuzzy Diffusion Distance Learning for Cartoon Similarity Estimation

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Journal of Computer Science & Technology 2011年第2期26卷 203-216页

作者：俞俊谢福顺 School of Computer Engineering Nanyang Technological University

In this paper, a novel method called fuzzy diffusion maps （FDM） is proposed to evaluate cartoon similarity, which is critical to the applications of cartoon recognition, cartoon clustering and cartoon reusing. We find that the features from heterogeneous sources have different influence on cartoon similarity estimation. In order to take all the features into consideration, a fuzzy consistent relation is presented to convert the preference order of the features into preference degree, from which the weights are calculated. Based on the features and weights, the sum of the squared differences （L2） can be calculated between any cartoon data. However, it has been demonstrated in some research work that the cartoon dataset lies in a low-dimensional manifold, in which the L2 distance cannot evaluate the similarity directly. Unlike the global geodesic distance preserved in Isomap, the local neighboring relationship preserved in Locally Linear Embedding, and the local similarities of neighboring points preserved in Laplacian Eigenmaps, the diffusion maps we adopt preserve diffusion distance summing over all paths of length connecting the two data. As a consequence, this diffusion distance is very robust to noise perturbation. Our experiment in cartoon classification using Receiver Operating Curves shows fuzzy consistent relation＇s excellent performance on weights assignment. The FDM＇s performance on cartoon similarity evaluation is tested on the experiments of cartoon recognition and clustering. The results show that FDM can evaluate the cartoon similarity more precisely and stably compared with other methods.

关键词： fuzzy diffusion maps similarity diffusion distance cartoon recognition cartoon clustering

fuzzy neural network based on a Sigmoid chaotic neuron

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Chinese Physics B 2012年第2期21卷 175-180页

作者： Zhang Yi Wang Xing-Yuan School of Electronic&Information Engineering Dalian University of TechnologyDalian 116024China

The theories of intelligent information processing are urgently needed for the rapid development of modem science. In this paper, a novel fuzzy chaotic neural network, which is the combination of fuzzy logic system, artificial neural network system, and chaotic system, is proposed. We design its model structure which is based on the Sigmoid map, derive its mathematical model, and analyse its chaotic characteristics. Finally the relationship between the accuracy of map and the membership function is illustrated by simulation.

关键词： chaos fuzzy neural network

fuzzy Fatigue Reliability Analysis of Offshore Platforms in Ice-Infested Waters

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海洋工程：英文版 2003年第3期17卷 307-314页

作者：方华灿段梦兰贾星兰谢彬 University of Petroleum Department of Mechanical Engineering Beijing University of Aeronautics and Astronautics Offshore Oil Engineering Co. LTD

The calculation of fatigue stress ranges due to random waves and ice loads on offshore structures is discussed, and the corresponding accumulative fatigue damages of the structural members are evaluated. To evaluate the fatigue damage to the structures more accurately, the Miner rule is modified considering the fuzziness of the concerned parameters, and a new model for fuzzy fatigue reliability analysis of offshore structures members is developed. Furthermore, an assessment method for predicting the dynamics of the fuzzy fatigue reliability of structural members is provided.

关键词： ice wave offshore structure fuzzy reliability fatigue Miner rule