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DYNAMIC CHARACTERISTIC ANALYSIS OF FUZZY-STOCHASTIC TRUSS STRUCTURES BASED ON FUZZY FACTOR METHOD AND RANDOM FACTOR METHOD 被引量:2
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作者 马娟 陈建军 +1 位作者 徐亚兰 江涛 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 2006年第6期823-832,共10页
A new fuzzy stochastic finite element method based on the fuzzy factor method and random factor method is given and the analysis of structural dynamic characteristic for fuzzy stochastic truss structures is presented.... A new fuzzy stochastic finite element method based on the fuzzy factor method and random factor method is given and the analysis of structural dynamic characteristic for fuzzy stochastic truss structures is presented. Considering the fuzzy randomness of the structural physical parameters and geometric dimensions simultaneously, the structural stiffness and mass matrices axe constructed based on the fuzzy factor method and random factor method; from the Rayleigh's quotient of structural vibration, the structural fuzzy random dynamic characteristic is obtained by means of the interval arithmetic; the fuzzy numeric characteristics of dynamic characteristic axe then derived by using the random variable's moment function method and algebra synthesis method. Two examples axe used to illustrate the validity and rationality of the method given. The advantage of this method is that the effect of the fuzzy randomness of one of the structural parameters on the fuzzy randomness of the dynamic characteristic can be reflected expediently and objectively. 展开更多
关键词 fuzzy stochastic truss fuzzy factor method random factor method fuzzy random dynamic characteristic
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A Dynamic Fuzzy Description Logic
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作者 FANG Wei XIAN Xuefeng ZHAO Pengpeng CUI Zhiming 《Wuhan University Journal of Natural Sciences》 CAS 2008年第4期417-420,共4页
Fuzzy description logics are considered as the logical infrastructure of fuzzy knowledge representation on the semantic Web. To deal with fuzzy and dynamic knowledge on the semantic Web and its applications, a new fuz... Fuzzy description logics are considered as the logical infrastructure of fuzzy knowledge representation on the semantic Web. To deal with fuzzy and dynamic knowledge on the semantic Web and its applications, a new fuzzy extension of Attribute Language with Complement based on dynamic fuzzy logic called the dynamic fuzzy description logic (DFALC) is presented. The syntax and semantics of DFALC are formally defined, and the forms of axioms and assertions are specified. The DFALC provides more reasonable logic foundation for the semantic Web, and overcomes the insufficiency of using fuzzy description logic FALC to act as logical foundation for the semantic Web. The extended DFALC is more expressive than the existing fuzzy description logics and present more fuzzy information on the semantic Web. 展开更多
关键词 dynamic fuzzy logic description logic dynamic fuzzy description logic semantic Web
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A fuzzy crisis in a Duffing-van der Pol system
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作者 洪灵 《Chinese Physics B》 SCIE EI CAS CSCD 2010年第3期182-187,共6页
A crisis in a Duffing-van del Pol system with fuzzy uncertainties is studied by means of the fuzzy generalised cell mapping (FGCM) method. A crisis happens when two fuzzy attractors collide simultaneously with a fuz... A crisis in a Duffing-van del Pol system with fuzzy uncertainties is studied by means of the fuzzy generalised cell mapping (FGCM) method. A crisis happens when two fuzzy attractors collide simultaneously with a fuzzy saddle on the basin boundary as the intensity of fuzzy noise reaches a critical point. The two fuzzy attractors merge discontinuously to form one large fuzzy attractor after a crisis. A fuzzy attractor is characterized by its global topology and membership function. A fuzzy saddle with a complicated pattern of several disjoint segments is observed in phase space. It leads to a discontinuous merging crisis of fuzzy attractors. We illustrate this crisis event by considering a fixed point under additive and multiplicative fuzzy noise. Such a crisis is fuzzy noise-induced effects which cannot be seen in deterministic systems. 展开更多
关键词 fuzzy dynamical systems fuzzy noise fuzzy bifurcation cell mapping methods
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Stochastic Optimal Estimation with Fuzzy Random Variables and Fuzzy Kalman Filtering
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作者 冯玉瑚 《Journal of Donghua University(English Edition)》 EI CAS 2005年第5期73-77,共5页
By constructing a mcan-square performance index in the case of fuzzy random variable, the optimal estimation theorem for unknown fuzzy state using the fuzzy observation data are given. The state and output of linear d... By constructing a mcan-square performance index in the case of fuzzy random variable, the optimal estimation theorem for unknown fuzzy state using the fuzzy observation data are given. The state and output of linear discrete-time dynamic fuzzy system with Gaussian noise are Gaussian fuzzy random variable sequences. An approach to fuzzy Kalman filtering is discussed. Fuzzy Kalman filtering contains two parts: a real-valued non-random recurrence equation and the standard Kalman filtering. 展开更多
关键词 gaussian fuzzy random variable stochastic optimal estimation fuzzy Kalman filtering discrete-time dynamic fuzzy system
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Control strategy for an intelligent shearer height adjusting system 被引量:8
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作者 FAN Qigao, LI Wei, WANG Yuqiao, ZHOU Lijuan, YANG Xuefeng, YE Guo School of Mechanical & Electrical Engineering, China University of Mining & Technology, Xuzhou 221008, China 《Mining Science and Technology》 EI CAS 2010年第6期908-912,共5页
An intelligent shearer height adjusting system is a key technology for mining at a man-less working face. A control strategy for a shearer height adjusting system based on a mathematical model of the height adjusting ... An intelligent shearer height adjusting system is a key technology for mining at a man-less working face. A control strategy for a shearer height adjusting system based on a mathematical model of the height adjusting mechanism is proposed. It considers the non-linearity and time variations in the control process and uses Dynamic Fuzzy Neural Networks (D-FNN). The inverse characteristics of the system are studied. An adaptive on-line learning and error compensation mechanism guarantees sys- tem real-time performance and reliability. Parameters from a German Eickhoff SL500 shearer were used with Maflab/Simulink to simulate a height adjusting control system. Simulation shows that the trace error of a D-FNN controller is smaller than that of a PID controller. Also, the D-FNN control scheme has good generalization and tracking performance, which allow it to satisfy the needs of a shearer height adjusting system. 展开更多
关键词 SHEARER height adjusting system dynamic fuzzy neural network
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Compensation for secondary uncertainty in electro-hydraulic servo system by gain adaptive sliding mode variable structure control 被引量:11
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作者 张友旺 桂卫华 《Journal of Central South University of Technology》 EI 2008年第2期256-263,共8页
Based on consideration of the differential relations between the immeasurable variables and measurable variables in electro-hydraulic servo system,adaptive dynamic recurrent fuzzy neural networks(ADRFNNs) were employe... Based on consideration of the differential relations between the immeasurable variables and measurable variables in electro-hydraulic servo system,adaptive dynamic recurrent fuzzy neural networks(ADRFNNs) were employed to identify the primary uncertainty and the mathematic model of the system was turned into an equivalent linear model with terms of secondary uncertainty.At the same time,gain adaptive sliding mode variable structure control(GASMVSC) was employed to synthesize the control effort.The results show that the unrealization problem caused by some system's immeasurable state variables in traditional fuzzy neural networks(TFNN) taking all state variables as its inputs is overcome.On the other hand,the identification by the ADRFNNs online with high accuracy and the adaptive function of the correction term's gain in the GASMVSC make the system possess strong robustness and improved steady accuracy,and the chattering phenomenon of the control effort is also suppressed effectively. 展开更多
关键词 electro-hydraulic servo system adaptive dynamic recurrent fuzzy neural network(ADRFNN) gain adaptive slidingmode variable structure control(GASMVSC) secondary uncertainty
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Research of variable speed directly driven SRG wind power system position sensorless based on DFNN by FEA 被引量:1
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作者 YI Ling-zhi WANG Gen-ping WU Jiang-liao 《Journal of Coal Science & Engineering(China)》 2011年第1期107-112,共6页
A new method of switched reluctance wind power generation position sensorless based on DFNN by FEA was proposed, Through current and magnetic linkage to get the angle of SRG rotor position, the nonlinear mapping of cu... A new method of switched reluctance wind power generation position sensorless based on DFNN by FEA was proposed, Through current and magnetic linkage to get the angle of SRG rotor position, the nonlinear mapping of cur- rent-magnetic linkage-angle was built, By training these sample data from FEA, the angle of SRG rotor position was replaced by the output of DFNN to achieve SRG position sensorless. Simulation results show that the error between actual rotor position and estimate rotor position is small; SRG can commutate with great accuracy; and the output voltage of SRG wind power system under variable wind speed is essentially constant. 展开更多
关键词 variable speed directly driven switched reluctance generation(SRG) dynamical fuzzy neuro-network(DFNN) finite element analysis(FEA)
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State Observer Based Dynamic Fuzzy Logic System for a Class of SISO Nonlinear Systems
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作者 Mohamed Hamdy 《International Journal of Automation and computing》 EI CSCD 2013年第2期118-124,共7页
This paper presents an observer based dynamic fuzzy logic system (DFLS) scheme for a class of unknown single-input single-output (SISO) nonlinear dynamic systems with external disturbances. The proposed approach d... This paper presents an observer based dynamic fuzzy logic system (DFLS) scheme for a class of unknown single-input single-output (SISO) nonlinear dynamic systems with external disturbances. The proposed approach does not need the availability of the state variables. Within this scheme, the DFLS is employed to identify the unknown nonlinear dynamic system. The control law and parameter adaptation laws of the DFLS are derived based on Lyapunov synthesis approach. The control law is robustfied in H∞ sense to attenuate external disturbance, model uncertainties, and fuzzy approximation errors. It is shown that under appropriate assumptions, it guarantees the boundedness of all the signals in the closed-loop system and the asymptotic convergence to zero of tracking errors. The proposed method is applied to an inverted pendulum system to verify the effectiveness of the proposed algorithms. 展开更多
关键词 Single-input single-output (SISO) nonlinear system dynamic fuzzy logic system (DFLS) OBSERVER Lyapunov synthesis approach stability analysis.
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Application of direct adaptive fuzzy sliding mode control into a class of non-affine discrete nonlinear systems 被引量:3
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作者 Xiao-yu ZHANG 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2016年第12期1331-1343,共13页
Direct adaptive fuzzy sliding mode control design for discrete non-affine nonlinear systems is presented for trajectory tracking problems with disturbance. To obtain adaptiveness and eliminate chattering of sliding mo... Direct adaptive fuzzy sliding mode control design for discrete non-affine nonlinear systems is presented for trajectory tracking problems with disturbance. To obtain adaptiveness and eliminate chattering of sliding mode control, a dynamic fuzzy logical system is used to implement an equivalent control, in which the parameters are self-tuned online. Stability of the sliding mode control is validated using the Lyapunov analysis theory. The overall system is adaptive, asymptotically stable, and chattering-free. A numerical simulation and an application to a robotic arm with two degrees of freedom further verify the good performance of the control design. 展开更多
关键词 Nonlinear system Discrete system dynamic fuzzy logical system Direct adaptive Sliding mode control
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A new approach to fuzzy dynamic fault tree analysis using the weakest n-dimensional t-norm arithmetic 被引量:4
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作者 Ge JIANG Hongjie YUAN +1 位作者 Peichang LI Peng LI 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2018年第7期1506-1514,共9页
Dynamic fault tree analysis is widely used for the reliability analysis of the complex system with dynamic failure characteristics. In many circumstances, the exact value of system reliability is difficult to obtain d... Dynamic fault tree analysis is widely used for the reliability analysis of the complex system with dynamic failure characteristics. In many circumstances, the exact value of system reliability is difficult to obtain due to absent or insufficient data for failure probabilities or failure rates of components. The traditional fuzzy operation arithmetic based on extension principle or interval theory may lead to fuzzy accumulations. Moreover, the existing fuzzy dynamic fault tree analysis methods are restricted to the case that all system components follow exponential time-to-failure distributions. To overcome these problems, a new fuzzy dynamic fault tree analysis approach based on the weakest n-dimensional t-norm arithmetic and developed sequential binary decision diagrams method is proposed to evaluate system fuzzy reliability. Compared with the existing approach,the proposed method can effectively reduce fuzzy cumulative and be applicable to any time-tofailure distribution type for system components. Finally, a case study is presented to illustrate the application and advantages of the proposed approach. 展开更多
关键词 fuzzy dynamic fault treeanalysis fuzzy theory Reliability evaluation Sequential binary decision diagrams The weakest n-dimensional t-norm arithmetic
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Dynamic multicast sharing protection algorithm based on fuzzy game in multi-domain optical network
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作者 WU Qi-wu CHEN Hao +1 位作者 JIANG Ling-zhi ZHOU Yang 《Optoelectronics Letters》 EI 2020年第6期455-461,共7页
Aiming at the problem of dynamic multicast service protection in multi-domain optical network, this paper proposes a dynamic multicast sharing protection algorithm based on fuzzy game in multi-domain optical network. ... Aiming at the problem of dynamic multicast service protection in multi-domain optical network, this paper proposes a dynamic multicast sharing protection algorithm based on fuzzy game in multi-domain optical network. The algorithm uses the minimum cost spanning tree strategy and fuzzy game theory. First, it virtualizes two planes to calculate the multicast tree and the multicast protection tree respectively. Then, it performs a fuzzy game to form a cooperative alliance to optimize the path composition of each multicast tree. Finally, it generates a pair of optimal multicast work tree and multicast protection tree for dynamic multicast services. The time complexity of the algorithm is O(k3 m2 n), where n represents the number of nodes in the networks, k represents the number of dynamic multicast requests, and m represents the number of destination nodes for each multicast request. The experimental results show that the proposed algorithm reduces significantly the blocking rate of dynamic multicast services, and improves the utilization of optical network resources within a certain number of dynamic multicast request ranges. 展开更多
关键词 SERVICE dynamic multicast sharing protection algorithm based on fuzzy game in multi-domain optical network DOMAIN
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A fuzzy model of predicting RNA secondary structure
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作者 SONG DanDan DENG ZhiDong 《Science in China(Series F)》 2007年第6期846-866,共21页
We propose a novel model to predict RNA secondary structure based on the fuzzy sets theory. Through the fuzzy partition of state spaces and the incorporation of fuzzy goals, we can find the optimal fuzzy policy of the... We propose a novel model to predict RNA secondary structure based on the fuzzy sets theory. Through the fuzzy partition of state spaces and the incorporation of fuzzy goals, we can find the optimal fuzzy policy of the model using fuzzy dynamic programming algorithm effectively, and then determine optimal and suboptimal RNA secondary structures. Compared to the existing sophisticated prediction models, such as Zuker's method and the SCFG model, our fuzzy model based approach has many advantages: 1) computational complexity can be reduced by the fuzzy partition; 2) the optimal secondary structure and several suboptimal ones can be generated simultaneously; and 3) subjective prior knowledge can readily be incorporated. This paper presents a complete description of our fuzzy model and gives the implementation of the proposed method. We also apply the BJK fuzzy model structure to secondary structure predictions based on datasets of tRNA and tmRNA sequences. By the comparison of our fuzzy method with both the minimum free energy based mfold tool and the BJK grammar model of SCFG, our experimental results validate the effectiveness of the proposed method and the prediction accuracy is shown to be further improved. 展开更多
关键词 RNA secondary structure fuzzy model fuzzy dynamic programming
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