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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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Adaptive event-triggered coding and decoding scheme based on fuzzy logic 认领 引用
2
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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A Fuzzy PID Algorithm for a Novel Miniature Spherical Robots with Three-dimensional Underwater Motion Control 认领 引用 被引量：13
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作者 Liwei Shi Yao Hu +7 位作者 Shuxiang Su Shuxiang Guo Huiming Xing Xihuan Hou Yu Liu Zhan Chen Zan Li Debin Xia 《Journal of Bionic Engineering》 SCIE EI CSCD 2020年第5期959-969,共11页
We proposed and developed a small bionic amphibious spherical robot system for tasks such as coastal environment monitoring and offshore autonomous search and rescue.Our third-generation bionic small amphibious spheri... We proposed and developed a small bionic amphibious spherical robot system for tasks such as coastal environment monitoring and offshore autonomous search and rescue.Our third-generation bionic small amphibious spherical robots have many disadvantages,such as the lack of maneuverability and a small operating range.It is difficult to accomplish underwater autonomous motion control with these robots.Therefore,we proposed a fourth-generation amphibious spherical robot.However,the amphibious spherical robot developed in this project has a small and compact design,with limited sensors and external sensing options.This means that the robot has weak external information collection capabilities.We need to make the real time operation of the robot's underwater motion control system more reliable.In this paper,we mainly used a fuzzy Proportional-Integral-Derivative(PID)control algorithm to design an underwater motion control system for a novel robot.Moreover,we compared PID with fuzzy PID control methods by carrying out experiments on heading and turning bow motions to verify that the fuzzy PID is more robust and exhibits good dynamic performance.We also carried out experiments on the three-dimensional(3D)motion control to validate the design of the underwater motion control system. 展开更多
关键词 bionic amphibious spherical robot fuzzy PID control underwater motion control system underwater three-dimensional motion water-jet thruster
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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A Formation Inversion Algorithm Based on Collaborative Fuzzy Gradient Neural Dynamics for Natural Gamma Logging While Drilling 认领 引用
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作者 Juntao Liu Ruoxiao Liu +2 位作者 Wenxin Li Zhenming Su Long Jin 《CAAI Transactions on Intelligence Technology》 SCIE EI CSCD 2026年第2期498-513,共16页
A formation inversion algorithm with real-time performance and accuracy is crucial for natural gamma logging while drilling(LWD).However,traditional inversion algorithms are often limited by high computational resourc... A formation inversion algorithm with real-time performance and accuracy is crucial for natural gamma logging while drilling(LWD).However,traditional inversion algorithms are often limited by high computational resource consumption and insufficient accuracy.To address these issues,an improved forward method for natural gamma LWD is proposed.The inverse problem is subsequently modelled using the proposed forward method through which the search methodology and region of formation information are determined.On this basis,a collaborative fuzzy gradient neural dynamics(CFGND)algorithm is proposed,which combines the advantages of the collaborative mechanism in swarm intelligence algorithms and fuzzy gradient neural dynamics(FGND)to improve its accuracy and real-time performance.Specifically,the collaborative mechanism is applied to conduct a global search using all possible formation information.Concurrently,the FGND algorithm initiates a local search from each particle and dynamically and intelligently adjusts the learning rate of the neural dynamics through a fuzzy logic system during the process to achieve rapid and stable local convergence.The CFGND algorithm subsequently updates its globally optimal solution using the optimal solution obtained from the FGND algorithm.This iterative process continues until the termination condition is met.Theoretical analysis proves the existence of an optimal solution for the inverse problem and the convergence of the CFGND algorithm.The results of simulations and experiments demonstrate that the proposed formation inversion algorithm features high accuracy and sufficient real-time performance. 展开更多
关键词 collaborative mechanism fuzzy logic system logging while drilling(LWD) neural dynamics
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A three-dimensional probabilistic fuzzy control system for network queue management 认领 引用
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作者 Yun ZHANG Zhi LIU Yaonan WANG 《控制理论与应用（英文版）》 2009年第1期29-34,共6页
A novel probabilistic fuzzy control system is proposed to treat the congestion avoidance problem in transmission control protocol （TCP） networks. Studies on traffic measurement of TCP networks have shown that the pa... A novel probabilistic fuzzy control system is proposed to treat the congestion avoidance problem in transmission control protocol （TCP） networks. Studies on traffic measurement of TCP networks have shown that the packet traffic exhibits long range dependent properties called self-similarity, which degrades the network performance greatly. The probabilistic fuzzy control （PFC） system is used to handle the complex stochastic features of self-similar traffic and the modeling uncertainties in the network system. A three-dimensional （3-D） membership function （MF） is embedded in the PFC to express and describe the stochastic feature of network traffic. The 3-D MF has extended the traditional fuzzy planar mapping and further provides a spatial mapping among ＂fuzziness-randomness-state＂. The additional stochastic expression of 3-D MF provides the PFC an additional freedom to handle the stochastic features of self-similar traffic. Simulation experiments show that the proposed control method achieves superior performance compared to traditional control schemes in a stochastic environment. 展开更多
关键词 Probabilistic fuzzy control Probabilistic fuzzy logic system Network control
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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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Fuzzy C-Means Clustering-Driven Pooling for Robust and Generalizable Convolutional Neural Networks 认领 引用
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作者 Seunggyu Byeon Jung-hun Lee Jong-Deok Kim 《Computers, Materials & Continua》 SCIE EI 2026年第5期579-604,共26页
This paper introduces a fuzzy C-means-based pooling layer for convolutional neural networks that explicitly models local uncertainty and ambiguity.Conventional pooling operations,such as max and average,apply rigid ag... This paper introduces a fuzzy C-means-based pooling layer for convolutional neural networks that explicitly models local uncertainty and ambiguity.Conventional pooling operations,such as max and average,apply rigid aggregation and often discard fine-grained boundary information.In contrast,our method computes soft membershipswithin each receptive field and aggregates cluster-wise responses throughmembership-weighted pooling,thereby preserving informative structure while reducing dimensionality.Being differentiable,the proposed layer operates as standard two-dimensional pooling.We evaluate our approach across various CNN backbones and open datasets,including CIFAR-10/100,STL-10,LFW,and ImageNette,and further probe small training set restrictions on MNIST and Fashion-MNIST.In these settings,the proposed pooling consistently improves accuracy and weighted F1 over conventional baselines,with particularly strong gains when training data are scarce.Even with less than 1%of the training set,ourmethodmaintains reliable performance,indicating improved sample efficiency and robustness to noisy or ambiguous local patterns.Overall,integrating soft memberships into the pooling operator provides a practical and generalizable inductive bias that enhances robustness and generalization in modern CNN pipelines. 展开更多
关键词 Fuzzy logic fuzzy c-means clustering membership-based pooling convolutional neural networks downsampling feature extraction
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Mobile Expert System for Aggression Detection and Prediction:Pilot Evaluation of a Fuzzy-LSTM ModelFigure 3:Architecture of the proposed Fuzzy-LSTM model. 认领 引用
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作者 Cesar Guevara Victoria Lopez 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第6期932-977,共46页
This study presents a mobile expert system for on-device detection and short-horizon forecasting of aggression using affordable edge hardware.The proposed framework combines lightweight on-body and ambient signals,com... This study presents a mobile expert system for on-device detection and short-horizon forecasting of aggression using affordable edge hardware.The proposed framework combines lightweight on-body and ambient signals,compact sequential predictors,and an interpretable fuzzy decision layer that converts calibrated probabilities into actionable and auditable alerts.In a subject-held-out pilot study with 10 independent participants,the system achieved a macro-averaged F1 score of 98.3%and an area under the receiver operating characteristic curve of 0.998 on the held-out test split.These results should be interpreted as pilot-scale held-out estimates rather than as definitive evidence of broad superiority across settings,because only 10 independent participants were available for subject-level evaluation and residual optimism or overfitting at the between-subject level cannot yet be excluded.Since the dataset belongs to a completed feasibility-oriented pilot phase,no additional participant-level test cases could be incorporated within the scope of the present study.An exploratory external check on a small independent cohort of 15 cases yielded performance of similar magnitude;however,these findings are presented strictly as preliminary and should not be interpreted as robust evidence of generalization across settings or populations.The compact Long Short-TermMemory forecasters also often reached their best validation region after relatively few effective epochs;in this pilot,that behavior is interpreted as a fixed-cohort optimization characteristic rather than as evidence that the available training data are already sufficient for deployment-oriented generalization.Ablation analyses indicate that short-horizon sequential predictors and weapon-related cues contribute most strongly to predictive accuracy,whereas camera-derived person andweapon cues should be understood as local field-of-viewevidence rather than complete scene observability.Beyond pointwise latency,the prototype also demonstrated pilot-stage sustained-load feasibility on Raspberry Pi 3B+hardware during a continuous 6 h profile,with mean central processing unit utilization of 68.4%(±4.2%),mean throughput of 0.798 records/s,and a battery-basedmean power proxy of 5.18W.The design prioritizes calibrated probability estimates,robustness to missing data,and transparent alert generation for non-specialist operators.Aggressiveness labels were defined through an a priori,expert-informed operational codebook intended to stratify short-horizon security risk into Low,Medium,and High levels rather than to provide a clinical diagnosis.Data collection was conducted under written informed consent,ethics approval,and de-identified data-handling procedures.Limitations include the pilot scale,single-site acquisition,and controlled distribution shifts;broader assessment of generalization and fairness will require larger,multi-session,and multi-site cohorts. 展开更多
关键词 Aggression detection risk forecasting multimodal sensing mobile edge computing fuzzy logic sequential prediction
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Automated measurement of three-dimensional cerebral cortical thickness in Alzheimer’s patients using localized gradient vector trajectory in fuzzy membership maps 认领 引用 被引量：1
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作者 Chiaki Tokunaga Hidetaka Arimura +9 位作者 Takashi Yoshiura Tomoyuki Ohara Yasuo Yamashita Kouji Kobayashi Taiki Magome Yasuhiko Nakamura Hiroshi Honda Hideki Hirata Masafumi Ohki Fukai Toyofuku 《Journal of Biomedical Science and Engineering》 2013年第3期327-336,共10页
Our purpose in this study was to develop an automated method for measuring three-dimensional (3D) cerebral cortical thicknesses in patients with Alzheimer’s disease (AD) using magnetic resonance (MR) images. Our prop... Our purpose in this study was to develop an automated method for measuring three-dimensional (3D) cerebral cortical thicknesses in patients with Alzheimer’s disease (AD) using magnetic resonance (MR) images. Our proposed method consists of mainly three steps. First, a brain parenchymal region was segmented based on brain model matching. Second, a 3D fuzzy membership map for a cerebral cortical region was created by applying a fuzzy c-means (FCM) clustering algorithm to T1-weighted MR images. Third, cerebral cortical thickness was three- dimensionally measured on each cortical surface voxel by using a localized gradient vector trajectory in a fuzzy membership map. Spherical models with 3 mm artificial cortical regions, which were produced using three noise levels of 2%, 5%, and 10%, were employed to evaluate the proposed method. We also applied the proposed method to T1-weighted images obtained from 20 cases, i.e., 10 clinically diagnosed AD cases and 10 clinically normal (CN) subjects. The thicknesses of the 3 mm artificial cortical regions for spherical models with noise levels of 2%, 5%, and 10% were measured by the proposed method as 2.953 ± 0.342, 2.953 ± 0.342 and 2.952 ± 0.343 mm, respectively. Thus the mean thicknesses for the entire cerebral lobar region were 3.1 ± 0.4 mm for AD patients and 3.3 ± 0.4 mm for CN subjects, respectively (p < 0.05). The proposed method could be feasible for measuring the 3D cerebral cortical thickness on individual cortical surface voxels as an atrophy feature in AD. 展开更多
关键词 Alzheimer’s Disease (AD) Fuzzy C-Means Clustering (FCM) Three-Dimensional Cerebral Cortical Thickness Localized Gradient Vector
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Fuzzy-theory-based social force model for simulating pedestrian choice of ticket gates in subway stations 认领 引用
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作者 Yong-Xing Li Xiao-Xiao Fu +2 位作者 Jing-Xuan Peng Zhi-Lu Yuan Xiao-Xia Yang 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第3期540-549,共10页
Ticket gates are vital equipment within subway stations,which have also caused bottlenecks in pedestrian flow.The effective utilization of ticket gates can enhance the pedestrian traffic efficiency.Nevertheless,pedest... Ticket gates are vital equipment within subway stations,which have also caused bottlenecks in pedestrian flow.The effective utilization of ticket gates can enhance the pedestrian traffic efficiency.Nevertheless,pedestrian choice of ticket gates has the characteristics of uncertainty and fuzziness.In this regard,we build a fuzzy-theory-based pedestrian choice model of ticket gates:the distance,queuing pedestrians and luggage are adopted as three input variables in the fuzzy logic method,and the probability of selecting each ticket gate is set as the output variable.On this basic,we employ social force model(SFM)to simulate the ticket gates selection process in subway stations.Simulation results demonstrate that the choice model based on fuzzy logic can capture pedestrian choice behavior of ticket gates well.In comparison to traditional choice strategies(choosing the nearest ticket gate or choosing the ticket gate with the fewest queuing pedestrians),the proposed choice model of ticket gates based on fuzzy logic has the higher passing efficiency and the utilization of ticket gates is more balanced.The outcomes of this research can provide substantial support for the humanized design and operation management of subway stations. 展开更多
关键词 pedestrian dynamic pedestrian simulation ticket gates fuzzy logic social force model
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An Improved Three-Dimensional Model for Emotion Based on Fuzzy Theory 认领 引用
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作者 Zijiang Zhu Junshan Li +1 位作者 Xiaoguang Deng Yi Hu 《Journal of Computer and Communications》 2018年第8期101-111,共11页
Emotion Model is the basis of facial expression recognition system. The constructed emotional model should not only match facial expressions with emotions, but also reflect the location relationship between different ... Emotion Model is the basis of facial expression recognition system. The constructed emotional model should not only match facial expressions with emotions, but also reflect the location relationship between different emotions. In this way, it is easy to understand the current emotion of an individual through the analysis of the acquired facial expression information. This paper constructs an improved three-dimensional model for emotion based on fuzzy theory, which corresponds to the facial features to emotions based on the basic emotions proposed by Ekman. What’s more, the three-dimensional model for motion is able to divide every emotion into three different groups which can show the positional relationship visually and quantitatively and at the same time determine the degree of emotion based on fuzzy theory. 展开更多
关键词 Emotion Model Facial Expression Fuzzy Theory Three-Dimensional State-Space
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Description logics for fuzzy ontologies on semantic web 认领 引用 被引量：12
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作者 康达周 徐宝文 +1 位作者 陆建江 李言辉 《Journal of Southeast University(English Edition)》 EI CAS 2006年第3期343-347,共5页
To enable representation and reasoning for fuzzy ontologies with expressive fuzzy knowledge on the semantic web, a new fuzzy extension of description logics called the fuzzy description logics with comparison expressi... To enable representation and reasoning for fuzzy ontologies with expressive fuzzy knowledge on the semantic web, a new fuzzy extension of description logics called the fuzzy description logics with comparison expressions （FCDLs） is presented. The syntax and semantics of FCDLs are formally defined, and the forms of axioms and assertions in FCDLs knowledge bases are specified. FCDLs combine both fuzzy concepts from the fuzzy description logics （FDLs） and cut concepts from the extended fuzzy description logics （EFDLs） in the same theory. Furthermore, cut concepts are extended into comparison cut concepts in FCDLs to represent comparison expressions between fuzzy membership degrees, which are often used in practice but not supported by the other fuzzy extensions of description logics. FCDLs have more expressive power than FDLs and EFDLs, and are able to represent expressive fuzzy knowledge and to perform reasoning tasks based on them. Therefore, FCDLs can enable representation and reasoning for fuzzy ontologies with expressive fuzzy knowledge on the semantic web. 展开更多
关键词 semantic web ontology description logics fuzzy
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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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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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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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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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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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Kinematics/Fuzzy Logic Combined Controller for Formation Control of Mobile Robots 认领 引用 被引量：2
20
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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