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Adaptive event-triggered coding and decoding scheme based on fuzzy logic 认领 引用
1
作者 Yiyao Yu Yifan Wang +2 位作者 Dongyu Li Ruihang Ji Shuzhi Sam Ge 《Journal of Automation and Intelligence》 EI CSCD 2026年第1期2-12,共11页
In this paper,we propose a fuzzy logic-based coded event-triggered control with self-adjustable prescribed performance(FL-CEC-SPP)to address the trade-off between control performance and communication efficiency in re... In this paper,we propose a fuzzy logic-based coded event-triggered control with self-adjustable prescribed performance(FL-CEC-SPP)to address the trade-off between control performance and communication efficiency in resource-constrained networked control systems.The method integrates a fuzzy-coded event-triggered controller into a coded control framework to dynamically adjust the triggering threshold,thereby reducing unnecessary transmissions while maintaining system stability.A self-adjustable prescribed performance constraint is also incorporated to ensure that the tracking error remains within predefined bounds under arbitrary initial conditions.Theoretical analyses and simulation comparisons show that the method proposed in this paper maintains good tracking performance and stability while reducing the communication burden,and has wide applications in resource-constrained network control systems. 展开更多
关键词 Fuzzy logic Event-triggered control Adaptive control Self-adjustable prescribed performance Nonlinear system
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Dynamic Energy Management in a Hybrid Microgrid Integrating PV,Wind,Fuel Cell and EV Battery Using Fuzzy Logic Control 认领 引用
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作者 Jawad Hameed Jiefeng Hu +1 位作者 Md Liton Hossain Syed Islam 《Energy Engineering》 EI 2026年第6期1-28,共28页
This paper presents a dynamic energy management strategy for a community-scale campus hybrid microgrid integrating photovoltaic(PV)generation,aggregated wind power,a proton exchange membrane fuel cell,and battery ener... This paper presents a dynamic energy management strategy for a community-scale campus hybrid microgrid integrating photovoltaic(PV)generation,aggregated wind power,a proton exchange membrane fuel cell,and battery energy storage to support electric vehicle(EV)charging infrastructure under variable environmental and load conditions.The system configuration is inspired by existing renewable energy installations and planned developments at the Federation University Mt Helen Campus,enabling realistic modeling of aggregated demand and coordinated multi-source operation.To enhance physical realism,power electronic conversion efficiencies and hierarchical control dynamics are incorporated,while the wind subsystem is represented using an aggregated generation model consistent with MW-scale operation.The proposed control architecture employs a Mamdani-type fuzzy logic controller(FLC)to coordinate distributed energy resources in real time based on solar irradiance,temperature,wind speed,load demand,and battery state of charge.A comprehensive MATLAB/Simulink model interfaces each source through converter-based power electronic stages,enabling adaptive power flow and stable system operation.Simulation results demonstrate uninterrupted load supply,reduced grid dependency,and effective bidirectional energy exchange.PV output varies between 18.76 and 95.12 kW,wind generation ranges from 1553.5 to 6493.84 kW,and the fuel cell provides a stable 1000 kW contribution,while the battery dynamically supports charging and discharging up to 203.07 kW.Power balance analysis confirms coordinated load sharing among all sources,with the grid supplying or absorbing power as required.Quantitative comparison with conventional PI-based dispatch demonstrates improved transient response,enhanced voltage regulation,smoother control effort,and improved power balance stability,with peak system efficiency reaching 97.83%,validating the proposed EMS as a robust and adaptive solution for EV-integrated renewable microgrids and next-generation smart energy systems. 展开更多
关键词 Hybrid microgrid fuzzy logic control renewable energy integration dynamic load battery storage PV system wind turbine fuel cell
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Fuzzy Logic-Based Robust Global Consensus in Leader-Follower Robotic Systems under Sensor and Actuator Attacks Using Hybrid Control Strategy 认领 引用
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作者 Asad Khan Fathia Moh.Al Samman +4 位作者 Waqar Ul Hassan Mohammed M.A.Almazah A.Y.Al-Rezami Azmat Ullah Khan Niazi Adnan Manzor 《Computer Modeling in Engineering & Sciences》 SCIE EI 2025年第8期1971-1999,共29页
This research paper tackles the complexities of achieving global fuzzy consensus in leader-follower systems in robotic systems,focusing on robust control systems against an advanced signal attack that integrates senso... This research paper tackles the complexities of achieving global fuzzy consensus in leader-follower systems in robotic systems,focusing on robust control systems against an advanced signal attack that integrates sensor and actuator disturbances within the dynamics of follower robots.Each follower robot has unknown dynamics and control inputs,which expose it to the risks of both sensor and actuator attacks.The leader robot,described by a secondorder,time-varying nonlinear model,transmits its position,velocity,and acceleration information to follower robots through a wireless connection.To handle the complex setup and communication among robots in the network,we design a robust hybrid distributed adaptive control strategy combining the effect of sensor and actuator attack,which ensures asymptotic consensus,extending beyond conventional bounded consensus results.The proposed framework employs fuzzy logic systems(FLSs)as proactive controllers to estimate unknown nonlinear behaviors,while also effectively managing sensor and actuator attacks,ensuring stable consensus among all agents.To counter the impact of the combined signal attack on follower dynamics,a specialized robust control mechanism is designed,sustaining system stability and performance under adversarial conditions.The efficiency of this control strategy is demonstrated through simulations conducted across two different directed communication topologies,underscoring the protocol’s adaptability,resilience,and effectiveness in maintaining global consensus under complex attack scenarios. 展开更多
关键词 Robotic systems consensus sensor dynamic control strategy leader-follower framework system stand actuator attacks:fuzzy logic systems(FLSs)
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Fuzzy Logic Based Evaluation of Hybrid Termination Criteria in the Genetic Algorithms for the Wind Farm Layout Design Problem 认领 引用
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作者 Salman A.Khan Mohamed Mohandes +2 位作者 Shafiqur Rehman Ali Al-Shaikhi Kashif Iqbal 《Computers, Materials & Continua》 SCIE EI 2025年第7期553-581,共29页
Wind energy has emerged as a potential replacement for fossil fuel-based energy sources.To harness maximum wind energy,a crucial decision in the development of an efficient wind farm is the optimal layout design.This ... Wind energy has emerged as a potential replacement for fossil fuel-based energy sources.To harness maximum wind energy,a crucial decision in the development of an efficient wind farm is the optimal layout design.This layout defines the specific locations of the turbines within the wind farm.The process of finding the optimal locations of turbines,in the presence of various technical and technological constraints,makes the wind farm layout design problem a complex optimization problem.This problem has traditionally been solved with nature-inspired algorithms with promising results.The performance and convergence of nature-inspired algorithms depend on several parameters,among which the algorithm termination criterion plays a crucial role.Timely convergence is an important aspect of efficient algorithm design because an inefficient algorithm results in wasted computational resources,unwarranted electricity consumption,and hardware stress.This study provides an in-depth analysis of several termination criteria while using the genetic algorithm as a test bench,with its application to the wind farm layout design problem while considering various wind scenarios.The performance of six termination criteria is empirically evaluated with respect to the quality of solutions produced and the execution time involved.Due to the conflicting nature of these two attributes,fuzzy logic-based multi-attribute decision-making is employed in the decision process.Results for the fuzzy decision approach indicate that among the various criteria tested,the criterion Phi achieves an improvement in the range of 2.44%to 32.93%for wind scenario 1.For scenario 2,Best-worst termination criterion performed well compared to the other criteria evaluated,with an improvement in the range of 1.2%to 9.64%.For scenario 3,Hitting bound was the best performer with an improvement of 1.16%to 20.93%. 展开更多
关键词 Wind energy wind farm layout design performance evaluation genetic algorithms fuzzy logic multi-attribute decision-making
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Fault detection and identification for dead reckoning system of mobile robot based on fuzzy logic particle filter 认领 引用 被引量：5
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作者 余伶俐 蔡自兴 +1 位作者 周智 奉振球 《Journal of Central South University》 SCIE EI CAS 2012年第5期1249-1257,共9页
To deal with fault detection and diagnosis with incomplete model for dead reckoning system of mobile robot,an integrative framework of particle filter detection and fuzzy logic diagnosis was devised.Firstly,an adaptiv... To deal with fault detection and diagnosis with incomplete model for dead reckoning system of mobile robot,an integrative framework of particle filter detection and fuzzy logic diagnosis was devised.Firstly,an adaptive fault space is designed for recognizing both known faults and unknown faults,in corresponding modes of modeled and model-free.Secondly,the particle filter is utilized to diagnose the modeled faults and detect model-free fault according to the low particle weight and reliability.Especially,the proposed fuzzy logic diagnosis can further analyze model-free modes and identify some soft faults in unknown fault space.The MORCS-1 experimental results show that the fuzzy diagnosis particle filter(FDPF) combinational framework improves fault detection and identification completeness.Specifically speaking,FDPF is feasible to diagnose the modeled faults in known space.Furthermore,the types of model-free soft faults can also be further identified and diagnosed in unknown fault space. 展开更多
关键词 fault detection and diagnosis particle filter fuzzy logic hard fault soft fault
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A novel vehicle navigation map matching algorithm based on fuzzy logic and its application 认领 引用 被引量：13
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作者 童小华 吴颂春 +1 位作者 吴淑琴 刘大杰 《Journal of Central South University of Technology》 2005年第2期214-219,共6页
A new real-time map matching algorithm based on fuzzy logic is proposed. 3 main factors affecting the reliability of map matching, including the distance between the vehicle location and the matching road segment, the... A new real-time map matching algorithm based on fuzzy logic is proposed. 3 main factors affecting the reliability of map matching, including the distance between the vehicle location and the matching road segment, the angle between the vehicle direction and the road segment direction and the road connectivity are discussed. Fuzzy rules for the distance, angle and connectivity are presented to calculate the matching reliability. 2 indicators for estimating the matching reliability are then derived, one is the lower limit of the reliability, and the other is the limit error of the difference between the maximal value and the second-maximal value of the reliability. A real-time map-matching system based on fuzzy logic is therefore developed. Using the real data of global positioning system(GIS) based navigation and geographic information system(GPS) based road map, the method is verified and the (results) prove the effectiveness of the proposed method. 展开更多
关键词 map matching fuzzy logic reliability GPS GIS road network
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Intelligent learning technique based-on fuzzy logic for multi-robot path planning 认领 引用 被引量：4
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作者 孟庆春 殷波 +3 位作者 熊建设 魏天滨 王旭柱 王汝霖 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2001年第3期222-227,共6页
Soccer robot system is a tremendously challenging intelligent system developed to mimic human soccer competition based on the multi discipline research: robotics, intelligent control, computer vision, etc. robot path ... Soccer robot system is a tremendously challenging intelligent system developed to mimic human soccer competition based on the multi discipline research: robotics, intelligent control, computer vision, etc. robot path planning strategy is a very important subject concerning to the performance and intelligence degree of the multi robot system. Therefore, this paper studies the path planning strategy of soccer system by using fuzzy logic. After setting up two fuzziers and two sorts of fuzzy rules for soccer system, fuzzy logic is applied to workspace partition and path revision. The experiment results show that this technique can well enhance the performance and intelligence degree of the system. 展开更多
关键词 fuzzy logic multi agent system intelligent system robot path planning
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Fuzzy Logic Control for Semi-Active Suspension System of Tracked Vehicle 认领 引用 被引量：6
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作者 管继富 顾亮 +1 位作者 侯朝桢 王国丽 《Journal of Beijing Institute of Technology》 EI CAS 2004年第2期113-117,共5页
The model of half a tracked vehicle semi-active suspension is established. The fuzzy logic controller of the semi-active suspension system is constructed. The acceleration of driver's seat and its time derivative ... The model of half a tracked vehicle semi-active suspension is established. The fuzzy logic controller of the semi-active suspension system is constructed. The acceleration of driver's seat and its time derivative are used as the inputs of the fuzzy logic controller, and the fuzzy logic controller output determines the semi-active suspension controllable damping force. The fuzzy logic controller is to minimize the mean square root of acceleration of the driver's seat. The control forces of controllable dampers behind the first road wheel are obtained by time delay, and the delay times are determined by the vehicle speed and axles distances. The simulation results show that this control method can decrease the acceleration of driver's seat and the suspension travel of the first road wheel, the ride quality is improved obviously. 展开更多
关键词 tracked vehicle semi-active suspension fuzzy logic control
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Control strategy for hybrid tracked vehicles using fuzzy logic 认领 引用 被引量：4
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作者 陈泽宇 赵广耀 +1 位作者 张承宁 翟丽 《Journal of Beijing Institute of Technology》 EI CAS 2013年第2期202-206,共5页
To solve the problem of power distribution for hybrid tracked vehicles （HTV）, a supervi- sory control strategy is proposed. Firstly, power system integration is analyzed and modeled. Then the control algorithm is gi... To solve the problem of power distribution for hybrid tracked vehicles （HTV）, a supervi- sory control strategy is proposed. Firstly, power system integration is analyzed and modeled. Then the control algorithm is given. Two fuzzy logics are used to realize the coordination control over each power unit. One controls power distribution based on the load power and battery state of charge （SOC）. The other manage the power during regenerating braking. To validate the presented control strategy, a ＂driver and controller＂ in the loop simulation platform is built based on dSPACE system and real-time simulation is made. The simulation results show that the strategy presented can solve the power distribution problem of hybrid tracked vehicles correctly and effectively. 展开更多
关键词 hybrid tracked vehicle （HTV） fuzzy logic power distribution control strategy
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Safety diagnosis on coal mine production system based on fuzzy logic inference 认领 引用 被引量：5
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作者 王爽英 左红艳 《Journal of Central South University》 SCIE EI CAS 2012年第2期477-481,共5页
According to the randomness and uncertainty of information in the safety diagnosis of coal mine production system (CMPS), a novel safety diagnosis method was proposed by applying fuzzy logic inference method, which co... According to the randomness and uncertainty of information in the safety diagnosis of coal mine production system (CMPS), a novel safety diagnosis method was proposed by applying fuzzy logic inference method, which consists of safety diagnosis fuzzifier, defuzzifier, fuzzy rules base and inference engine. Through the safety diagnosis on coal mine roadway rail transportation system, the result shows that the unsafe probability is about 0.5 influenced by no speed reduction and over quick turnout on roadway, which is the most possible reason leading to the accident of roadway rail transportation system. 展开更多
关键词 coal mine production system safety diagnosis fuzzy logic inference
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Model-based and Fuzzy Logic Approaches to Condition Monitoring of Operational Wind Turbines 认领 引用 被引量：7
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作者 Philip Cross Xiandong Ma 《International Journal of Automation and computing》 CSCD 2015年第1期25-34,共10页
It is common for wind turbines to be installed in remote locations on land or offshore, leading to difficulties in routine inspection and maintenance. Further, wind turbines in these locations are often subject to har... It is common for wind turbines to be installed in remote locations on land or offshore, leading to difficulties in routine inspection and maintenance. Further, wind turbines in these locations are often subject to harsh operating conditions. These challenges mean there is a requirement for a high degree of maintenance. The data generated by monitoring systems can be used to obtain models of wind turbines operating under different conditions, and hence predict output signals based on known inputs. A model-based condition monitoring system can be implemented by comparing output data obtained from operational turbines with those predicted by the models, so as to detect changes that could be due to the presence of faults. This paper discusses several techniques for model-based condition monitoring systems: linear models, artificial neural networks, and state dependent parameter "pseudo" transfer functions.The models are identified using supervisory control and data acquisition(SCADA) data acquired from an operational wind firm. It is found that the multiple-input single-output state dependent parameter method outperforms both multivariate linear and artificial neural network-based approaches. Subsequently, state dependent parameter models are used to develop adaptive thresholds for critical output signals. In order to provide an early warning of a developing fault, it is necessary to interpret the amount by which the threshold is exceeded, together with the period of time over which this occurs. In this regard, a fuzzy logic-based inference system is proposed and demonstrated to be practically feasible. 展开更多
关键词 Condition monitoring wind turbines artificial neural network state dependent parameter model fuzzy logic
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Fuzzy logic control strategy for submerged arc automatic welding of digital controlling 认领 引用 被引量：2
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作者 何宽芳 黄石生 +1 位作者 周漪清 王振民 《China Welding》 EI CAS 2008年第3期55-59,共5页
A microcomputer control system based on 80C320 and a switching regulation of wire feeder were designed. A correction factor based double model fuzzy logic controller （FLC） was introduced to achieve welding digital a... A microcomputer control system based on 80C320 and a switching regulation of wire feeder were designed. A correction factor based double model fuzzy logic controller （FLC） was introduced to achieve welding digital and intellectualized control by means of wire feeding speed feedback. The controller has many functions such as keyboard input, light emitting diode （LED） display and real-time intellectualized control of welding process etc. The controlling performance influenced by the coefficient of correction function was discussed. It was concluded by the experiments the relation between the coefficient of correction function and welding quality, when the coefficient of correction function is great, the dynamic character of controller is better, when the coefficient of correction function is small, the sensitivity character of controller is better. Experimental results also show that digital and fuzzy logic control method enable the improvement of appearance of weld and stability of welding process to be achieved in submerged arc automatic welding. 展开更多
关键词 submerged arc welding microcomputer control correction function fuzzy logic control
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Kinematics/Fuzzy Logic Combined Controller for Formation Control of Mobile Robots 认领 引用 被引量：2
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作者 Zhi-Jiang Du Li-Min Ren +1 位作者 Wei-Dong Wang Wei Dong 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2013年第4期121-128,共8页
A kinematics and fuzzy logic combined formation controller was proposed for leader-follower based formation control using backstepping method in order to accommodate the dynamics of the robot.The kinematics controller... A kinematics and fuzzy logic combined formation controller was proposed for leader-follower based formation control using backstepping method in order to accommodate the dynamics of the robot.The kinematics controller generates desired linear and angular velocities for follower robots,which make the configuration of follower robots coverage to the desired.The fuzzy logic controller takes dynamics of the leader and followers into consideration,which is built upon Mamdani fuzzy model.The force and torque acting on robots are described as linguistic variables and also 25 if-then rules are designed.In addition,the fuzzy logic controller adopts the Centroid of Area method as defuzzification strategy and makes robots’actual velocities converge to the expected which is generated by the kinematics controller.The innovation of the kinematics and fuzzy logic combined formation controller presented in the paper is that the perfect velocity tracking assumption is removed and realtime performance of the system is improved.Compared with traditional torque-computed controller,the velocity error convergence time in case of the proposed method is shorter than traditional torque-computed controller.The simulation results validate that the proposed controller can drive robot members to form the desired formation and formation tracking errors which can coverage to a neighborhood of the origin.Additionally,the simulations also show that the proposed method has better velocity convergence performance than traditional torque-computed method. 展开更多
关键词 kinematics/fuzzy logic combined formation controller mobile robot backstepping
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Ingredients-based Methodology and Fuzzy Logic Combined Short-Duration Heavy Rainfall Short-Range Forecasting:An Improved Scheme 认领 引用 被引量：2
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作者 TIAN Fu-you XIA Kun +2 位作者 SUN Jian-hua ZHENG Yong-guang HUA Shan 《Journal of Tropical Meteorology》 SCIE 2024年第3期241-256,共16页
Short-duration heavy rainfall(SHR),as delineated by the National Meteorological Center of the China Me-teorological Administration,is characterized by hourly rainfall amounts no less than 20.0 mm.SHR is one of the mos... Short-duration heavy rainfall(SHR),as delineated by the National Meteorological Center of the China Me-teorological Administration,is characterized by hourly rainfall amounts no less than 20.0 mm.SHR is one of the most common convective weather phenomena that can cause severe damage.Short-range forecasting of SHR is an important part of operational severe weather prediction.In the present study,an improved objective SHR forecasting scheme was developed by adopting the ingredients-based methodology and using the fuzzy logic approach.The 1.0°×1.0°National Centers for Environmental Prediction(NCEP)final analysis data and the ordinary rainfall(0.1-19.9 mm h-1)and SHR observational data from 411 stations were used in the improved scheme.The best lifted index,the total precipitable water,the 925 hPa specific humidity(Q 925),and the 925 hPa divergence(DIV 925)were selected as predictors based on objective analysis.Continuously distributed membership functions of predictors were obtained based on relative frequency analysis.The weights of predictors were also objectively determined.Experiments with a typhoon SHR case and a spring SHR case show that the main possible areas could be captured by the improved scheme.Verification of SHR forecasts within 96 hours with NCEP global forecasts 1.0°×1.0°data initiated at 08:00 Beijing Time during the warm seasons in 2015 show the results were improved from both deterministic and probabilistic perspectives.This study provides an objectively feasible choice for short-range guidance forecasts of SHR.The scheme can be applied to other convective phenomena. 展开更多
关键词 ingredients-based methodology fuzzy logic approach probability of short-duration heavy rainfall(SHR) improved forecasting scheme objectively obtained membership functions
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Dynamic character analysis for the arc welding power source based on fuzzy logic 认领 引用 被引量：2
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作者 王振民 薛家祥 王富光 《China Welding》 EI CAS 2007年第4期1-6,共6页
A lot of experimental methods have been brought forth to assess the dynamic character of the arc welding power source, but up to now, this issue has not been solved very well. In this paper, based on the fuzzy logic r... A lot of experimental methods have been brought forth to assess the dynamic character of the arc welding power source, but up to now, this issue has not been solved very well. In this paper, based on the fuzzy logic reasoning method, a dynamic character assessing model for the arc welding power source was established and used to analyze the dynamic character of the welding power source. Three different types of welding machine have been tested, and the characteristic information of the electrical signals such as re-striking arc voltage, low welding current and so on of the welding process were extracted accurately by using a self-developed welding dynamic arc wavelet analyzer. The experimental results indicate that this model can be used as a new assessing method for the dynamic character of the arc welding power source. 展开更多
关键词 arc welding power source fuzzy logic reasoning wavelet analysis dynamic character
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Fuzzy Logic Based Group Maturity Rating for Software Performance Prediction 认领 引用 被引量：2
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作者 A.K.Verma Anil R Om Prakash Jain 《International Journal of Automation and computing》 2007年第4期406-412,共7页
Driven by market requirements, software services organizations have adopted various software engineering process models （such as capability maturity model （CMM）, capability maturity model integration （CMMI）, ISO ... Driven by market requirements, software services organizations have adopted various software engineering process models （such as capability maturity model （CMM）, capability maturity model integration （CMMI）, ISO 9001：2000, etc.） and practice of the project management concepts defined in the project management body of knowledge. While this has definitely helped organizations to bring some methods into the software development madness, there always exists a demand for comparing various groups within the organization in terms of the practice of these defined process models. Even though there exist many metrics for comparison, considering the variety of projects in terms of technology, life cycle, etc., finding a single metric that caters to this is a difficult task. This paper proposes a model for arriving at a rating on group maturity within the organization. Considering the linguistic or imprecise and uncertain nature of software measurements, fuzzy logic approach is used for the proposed model. Without the barriers like technology or life cycle difference, the proposed model helps the organization to compare different groups within it with reasonable precision. 展开更多
关键词 Group maturity rating fuzzy logic fuzzy sets historical data software projects.
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A Novel Vertical Handoff Algorithm Based on Fuzzy Logic in Aid of Grey Prediction Theory in Wireless Heterogeneous Networks 认领 引用 被引量：2
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作者 刘侠 蒋铃鸽 《Journal of Shanghai Jiaotong university(Science)》 EI 2012年第1期25-30,共6页
To coordinate the various access technologies in the 4G communication system,intelligent vertical handoff algorithms are required.This paper mainly deals with a novel vertical handoff decision algorithm based on fuzzy... To coordinate the various access technologies in the 4G communication system,intelligent vertical handoff algorithms are required.This paper mainly deals with a novel vertical handoff decision algorithm based on fuzzy logic with the aid of grey theory and dynamic weights adaptation.The grey prediction theory(GPT) takes 4 sampled received signal strengths as input parameters,and calculates the predicted received signal strength in order to reduce the call dropping probability.The fuzzy logic theory based quantitative decision algorithm takes 3 quality of service(QoS)metric,received signal strength(RSS),available bandwidth(BW),and monetary cost (MC)of candidate networks as input parameters.The weight of each QoS metrics is adjusted along with the networks changing to trace the network condition.The final optimized vertical handoff decision is made by comparing the quantitative decision values of the candidate networks.Simulation results demonstrate that the proposed algorithm provides high performance in heterogeneous as well as homogeneous network environments. 展开更多
关键词 fuzzy logic theory grey prediction algorithm quantitative decision vertical handoff
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Three-dimensional fuzzy logic system for process modeling and control 认领 引用 被引量：2
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作者 Han-Xiong LI Xiaogang DUAN Zhi LIU 《控制理论与应用（英文版）》 2010年第3期280-285,共6页
The traditional fuzzy logic system （FLS） can only model and control the process in two-dimensional nature. Many of real-world systems are of multidimensional features, such as, thermal and fluid processes with spati... The traditional fuzzy logic system （FLS） can only model and control the process in two-dimensional nature. Many of real-world systems are of multidimensional features, such as, thermal and fluid processes with spatiotemporal dynamics, biological systems, or decision-making processes that contain stochastic and imprecise uncertainties. These types of systems are difficult for the traditional FLS to model and control because they require a third dimension for spatial or probabilistic information. The type-2 fuzzy set provides the possibility to develop a three-dimensional fuzzy logic system for modeling and controlling these processes in three-dimensional nature. 展开更多
关键词 Three-dimensional fuzzy logic system Spatiotemporal system Modeling
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AN INTELLIGENT METHOD FOR REAL-TIME DETECTION OF DDOS ATTACK BASED ON FUZZY LOGIC 认领 引用 被引量：2
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作者 Wang Jiangtao Yang Geng 《Journal of Electronics(China)》 2008年第4期511-518,共8页
The paper puts forward a variance-time plots method based on slide-window mechanism tocalculate the Hurst parameter to detect Distribute Denial of Service(DDoS)attack in real time.Basedon fuzzy logic technology that c... The paper puts forward a variance-time plots method based on slide-window mechanism tocalculate the Hurst parameter to detect Distribute Denial of Service(DDoS)attack in real time.Basedon fuzzy logic technology that can adjust itself dynamically under the fuzzy rules,an intelligent DDoSjudgment mechanism is designed.This new method calculates the Hurst parameter quickly and detectsDDoS attack in real time.Through comparing the detecting technologies based on statistics andfeature-packet respectively under different experiments,it is found that the new method can identifythe change of the Hurst parameter resulting from DDoS attack traffic with different intensities,andintelligently judge DDoS attack self-adaptively in real time. 展开更多
关键词 Abnormal traffic Distribute Denial of Service （DDoS） Real-time detection Intelligent control Fuzzy logic
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ARTIFICIAL NEURAL NETWORK AND FUZZY LOGIC CONTROLLER FOR GTAW MODELING AND CONTROL 认领 引用 被引量：3
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作者 Gao Xiangdong Faculty of Mechanical and Electrical Engineering,Guangdong University of Technology, Guangzhou 510090,China Huang Shisheng South China University of Technology 《Chinese Journal of Mechanical Engineering》 EI CAS 2002年第1期53-56,共4页
An artificial neural network(ANN) and a self-adjusting fuzzy logiccontroller(FLC) for modeling and control of gas tungsten arc welding(GTAW) process are presented.The discussion is mainly focused on the modeling and c... An artificial neural network(ANN) and a self-adjusting fuzzy logiccontroller(FLC) for modeling and control of gas tungsten arc welding(GTAW) process are presented.The discussion is mainly focused on the modeling and control of the weld pool depth with ANN and theintelligent control for weld seam tracking with FLC. The proposed neural network can produce highlycomplex nonlinear multi-variable model of the GTAW process that offers the accurate prediction ofwelding penetration depth. A self-adjusting fuzzy controller used for seam tracking adjusts thecontrol parameters on-line automatically according to the tracking errors so that the torch positioncan be controlled accurately. 展开更多
关键词 Artificial neural network Fuzzy logic control Weld pool depth Seamtracking
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