A Hybrid System for Subjectivity Analysis by Samir Rustamov

“…We suggested different structured hybrid systems for the sentence-level subjectivity analysis based on three supervised machine learning algorithms, namely, Hidden Markov Model, Fuzzy Control System, and Adaptive Neuro-Fuzzy Inference System. …”
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Design of Hand Rehabilitation Training Device based on SMA by Feng Kaidi, Yang Yan

“…By comparing PID control and fuzzy control， the control efficiency of the device is improved. …”
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Design and Dynamic Modification of Multi-condition Shift Schedule for Automotive Automatic Transmission by Ma Wenjie, Zhang Xiaocong, Yan Zhengjun, Chen Wenjun, Wang Weida

“…Combined dynamic shift schedule for the hydraulic automatic transmission is designed.The fuzzy control with the vehicle speed,throttle opening and acceleration as the control parameters are used to modify the shift schedule based on the dynamic characteristics of engine.The ramp conditions are amended by the speed attenuated dynamic shift schedule.The simulation results show that dynamic revised shift schedule has a better power performance and is more in line with driver intention.The amended shift schedules under ramp conditions can solve the problems of shift cycle under uphill condition and rising to higher shift under downhill condition,so that frequent shifting is avoided.…”
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Research of the Effect of Two- speed AMT Shift Mode on Electric Vehicle Performance by Sun Bing, Xiong Huiyuan, Yu limin, Liu Yizhang

“…A double shift mode based on the parameters of average acceleration and the acceleration square root is designed by using fuzzy control theory. On the basis of Matlab / simulink platform,the carload,AMT and shift modes are established. …”
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Fuzzy Adaptive PID Control for Multi- range Hydro- mechanical Continuously Variable Transmission in Tractor by Wang Quansheng, Zhang Mingzhu, Bai Dongyang, Yin Yuxin, Hao Xiaoyang

“…According to the actual deviation of the actual vehicle speed and the target vehicle,the fuzzy control method is adopted to automatically adjust the PID control parameters,so as to achieve the purpose of control. …”
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Stability Analysis and Design of Time-Varying Nonlinear Systems Based on Impulsive Fuzzy Model by Yuangan Wang, Honglin Yu, Xiaohong Zhang, Dong Li

“…This paper develops a general analysis and design theory for nonlinear time-varying systems represented by impulsive T-S fuzzy control model, which extends conventional T-S fuzzy model. …”
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AN IMPROVED FUZZY K-MEANS CLUSTERING ALGORITHM BASED ON WEIGHT ENTROPY MEASUREMENT AND CALINSKI-HARABASZ INDEX by Nguyễn Như Đồng, Phan Thành Huấn

“…Clustering plays an important role in data mining and is applied widely in fields of pattern recognition, computer vision, and fuzzy control. In this paper, we proposed an improved clustering algorithm combined of both fuzzy k-means using weight Entropy and Calinski-Harabasz index. …”
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Design and Motion Control of a Novel Weak-coupling Parallel Hip-joint Rehabilitation Mechanism by Xing Jiyuan, Xu Jilong, Liu Fucai

“…The fuzzy adaptive proportional-derivative (PD) controller is designed based on the fuzzy control theory. The control law is constructed using the tracking error and its derivative. …”
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Fault Diagnosis of Gearbox based on Multi-fractal and PSO-SVM by Li Sha, Pan Hongxia, Zhang Jundong, Zhao Weiwei

“…Aiming at the non-stationary and nonlinear of gearbox vibration signals,a fault diagnosis method based on the multi-fractal and particle swarm optimization support vector machine（PSO-SVM）is put forward.Firstly,the fractal filter with short-time fractal dimension as fuzzy control parameters is used to filtering noise reduction the gearbox vibration signals with bigger background noises.Secondly,the multi-fractal spectrum algorithm is applied to analyze the signal after filtering,the results show that the characteristic parameters:Δa（q）、f（a（q））maxand box dimensions Dbcan give a good presentation for gearbox working condition.Finally,the particle swarm optimization（PSO）is applied to optimize the parameters of support vector machine（SVM）.Taking the multi-fractal characteristic vectors as input parameters of PSO-SVM and SVM to recognize the fault types of the gearbox.The results show that SVM based on particle swarm optimization can improve the classification accuracy.Meanwhile,the validity of gearbox fault diagnosis based on muti-fractal and PSO-SVM is proved.…”
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Admission Control for Multiservices Traffic in Hierarchical Mobile IPv6 Networks by Using Fuzzy Inference System by Jung-Shyr Wu, Shun-Fang Yang, Chen-Chieh Huang

“…In this paper, we propose a CAC scheme which incorporates multiple traffic types and adjusts the admission threshold dynamically using fuzzy control logic to achieve better usage of resources. …”
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Adaptive fuzzy command filtered control for uncertain fractional order nonlinear systems with full state constraints by Ruixia Liu, Yang Han, Lei Xing, Liyang Sun

“…Abstract This paper investigates the tracking control problem for fractional-order (FO) nonlinear systems with model uncertainties and external disturbances under full-state constraints. An adaptive fuzzy control strategy based on a command filter is proposed, where the asymmetric Barrier Lyapunov Function is adopted to ensure that the states do not violate their constraints, and a fuzzy logic system is used to approximate the unknown nonlinear terms. …”
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Recognition and Localization of Target Images for Robot Vision Navigation Control by Muji Chen

“…It proposes an efficient marking line method for recognizing and localization target images. Meanwhile, a fuzzy control method with smooth filtering and high efficiency is designed to improve the stability of robot operation, and the feasibility is verified in different scenarios. …”
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Bus Voltage Stabilization Control of Photovoltaic DC Microgrid Based on Fuzzy-PI Dual-Mode Controller by Yu Zhang, Shuhao Wei, Jin Wang, Lieping Zhang

“…Hence, simulation and experimental results show that the fuzzy-PI dual-mode controller has the same advantages with both fuzzy control and PI control; in other words, it has the features of speedy response, low overshoot, good robustness, and strong anti-interference under different working conditions.…”
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Fuzzy Coordinated PI Controller: Application to the Real-Time Pressure Control Process by N. Kanagaraj, P. Sivashanmugam, S. Paramasivam

“…To demonstrate the performance of the fuzzy coordinated PI control scheme, results are compared with a classical PI and PI-type fuzzy control method. It is observed that the proposed controller structure is able to quickly track the parameter variation and perform better in load disturbances and also for set point changes.…”
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Considering the Characteristics of Traffic Risk Factors and the Method of Establishing a Flexible Traffic System by Lingling Chen, Yuanyuan Zhang

“…Based on the large urban road network, this research uses the theory of coordinated control and learning mechanism, fuzzy control, dynamic reprogramming, and other theories to study phase sequence, balance peripheral load, and overall traffic flow. …”
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The intelligent selenium-enriched tea withering control system by Shuang Ren, Sanjun Liu, Jinzhao Fan, Didi Lu

“…Application results show that the system operates stably, accurately measures temperature and humidity in the withering environment, and achieves a control precision of $$\pm 1$$ % through a fuzzy control algorithm. It effectively meets the needs of tea processing in Enshi Prefecture. …”
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Research Status on Jumping Function of Quadruped Robots by Hua Congcong, Yang Zihe, Xia Yanting, Yan Jianrong, Gao Guanjian, Luo Fuliang, Ma Wenshuo, Li Zhijie

“…In the design of control algorithms based on the jump function, traditional control methods such as PID control, fuzzy control, and adaptive control were widely used in the control of jump function. …”
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Vehicle Speed Optimized Fuzzy Energy Management for Hybrid Energy Storage System in Electric Vehicles by Xizheng Zhang, Zhangyu Lu, Ming Lu

“…Results show that the final SOC of battery and super-capacitor are optimized in varying degrees, and the total energy consumption under the VSO-FEMS strategy is 2.43% less than rule-based strategy and 1.28% less than fuzzy control strategy, which verifies the effectiveness of the VSO-FEMS strategy.…”
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FOPID controller design for pneumatic control valves with ultra-low overshoot, rapid response and enhanced robustness by Yuxin He, Aixiang Ma, Yuehui Wang, Xinyi Tian, Sihai Zhao

“…Traditional PID and fuzzy control methods face limitations in achieving high-precision control due to structural constraints. …”
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Research of Economical Shift Rule of Automatic Power Shift Transmission of Tractor by Xi Zhiqiang, Zhou Zhili, Zhang Mingzhu

“…For this reason,the slip rate of driving wheel is introduced to constitute economical shift rule and its control strategy,which takes the speed,drive wheel speed,engine speed,throttle opening and transmission gear ratio of tractor as control parameters. The fuzzy control is used to identify the driving intention,and the driver intervention on the shifting process is introduced to the transmission control,which can reflect the actual working environment of the tractor. …”
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