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Rongqiang Tang, Xinsong Yang, Xiaoxiao Wan
This paper considers the finite-time cluster synchronization (FTCS) of coupled fuzzy cellular neural networks (FCNNs) with Markovian switching topology, discontinuous activation functions, proportional leakage, and time-varying unbounded delays. Novel quantized controllers without the sign function are designed to avoid the chattering and save communication resources. Under the framework of Filippov solution, several sufficient conditions are derived to guarantee the FTCS by constructing new Lyapunov-Krasovskii functionals and utilizing M-matrix methods...
February 7, 2019: Neural Networks: the Official Journal of the International Neural Network Society
Yuan Cao, Hongkang Lu, Tao Wen
The safety computer in the train control system is designed to be the double two-vote-two architecture. If safety-critical multi-input data are inconsistent, this may cause non-strict multi-sensor data problems in the output. These kinds of problems may directly affect the decision making of the safety computer and even pose a serious threat to the safe operation of the train. In this paper, non-strict multi-sensor data problems that exist in traditional safety computers are analyzed. The input data are classified based on data features and safety computer features...
February 17, 2019: Sensors
Wubing Fang, Fei Chao, Chih-Min Lin, Longzhi Yang, Changjing Shang, Changle Zhou
The brain emotional learning (BEL) system was inspired by the biological amygdala-orbitofrontal model to mimic the high speed of the emotional learning mechanism in the mammalian brain, which has been successfully applied in many real-world applications. Despite of its success, such system often suffers from slow convergence for online humanoid robotic control. This paper presents an improved fuzzy BEL model (iFBEL) neural network by integrating a fuzzy neural network (FNN) to a conventional BEL, in an effort to better support humanoid robots...
2019: Frontiers in Neurorobotics
Maryam Arab Zade, Hamed Khodadadi
In this study, three non-linear indices consist of compression, one-dimensional (1D) and two-dimensional (2D) fractal dimensions are used for the determination of the malignancy or benignity of cancer tumours in breast thermograms. On the other hand, by developing the high-precision infrared cameras as well as new methods of image processing, biomedical thermography images have found a prominent position among the others. Furthermore, cancerous tissue can be affected by the laser. In this study, in order to treat the cancerous lesion identified by breast thermograms, the laser parameters are designed...
February 2019: IET Systems Biology
Carla Caballero, Keith Davids, Ben Heller, Jonathan Wheat, Francisco J Moreno
BACKGROUND: Motor variability has been related to motor control playing a functional role in human adaptive behaviours. However, the direction of the relationship between variability and motor control can be unclear. The specific relations that exist between task constraints and movement (re)organization could explain some of this controversy. RESEARCH QUESTION: This study sought to understand whether manipulation of task constraints result in changes in the magnitude or structure of motor system variability observed in a basic walking task...
February 4, 2019: Gait & Posture
Rodolpho Rodrigues Fonseca, Ivan Carlos Franco, José Pedro Thompson, Flavio Vasconcelos da Silva
This study intends to explore fuzzy logic control on clean water turbidity process with dissolved air flotation (DAF). Three different strategies were tested to regulate clean water turbidity by manipulating the saturator vessel flow output aiming for low actuators control effort. Saturator pressure was the manipulated variable (MV) in the first control loop named SISO I. The second control loop, SISO II, used recycle stream valve opening as MV. The third control loop (MISO) was developed applying fuzzy logic instead PID control...
December 2018: Water Science and Technology: a Journal of the International Association on Water Pollution Research
Jing Chen, Chao Ye, Xiaomin Hu, Caihua Huang, Zheng Yang, Pengyang Li, Aiming Wu, Xiaolin Xue, Donghai Lin, Huimin Yang
Dyslipidemia is known as a common clinical disease that affects the health of millions of people around the world. The treatment of dyslipidemia with traditional Chinese medicine (TCM) is generally based on the accurate identification of disease syndromes. TCM syndromes are judged by traditional four-diagnosis method, which is subjective and fuzzy. Additionally, the judgment of TCM syndromes highly depend on doctors' own clinical experience. In this present study, we used nuclear magnetic resonance (NMR)-based serum metabolomics patterns to figure out the metabolic characteristics of different syndromes in patients with dyslipidemia...
February 4, 2019: Journal of Pharmaceutical and Biomedical Analysis
Van-Phong Vu, Wen-June Wang
This paper proposes a novel method to synthesize a controller for stabilizing the nonlinear large-scale system which is represented by a large-scale polynomial Takagi-Sugeno (T-S) fuzzy system. The large-scale system consists of a set of the uncertain polynomial T-S fuzzy system with interconnection terms. Modeling the large-scale nonlinear system under the framework of the polynomial form will decrease both the modeling errors and the number of fuzzy rules with respect to the conventional large-scale T-S fuzzy system...
February 11, 2019: IEEE Transactions on Cybernetics
Yun Zhang, Xiaohang Su, Zhi Liu, C L Philip Chen
This paper investigates an event-triggered adaptive tracking control problem of multi-input and multi-output (MIMO) triangular structure nonlinear systems with nonparametric uncertainties. The implementation of this paper can be roughly classified into two steps: 1) solving the existing rate-limited communication constraints and 2) guaranteeing perfect tracking control performance. By using the relative threshold event-triggered strategy, the communication resource constraint is availably resolved, while the Zeno behavior can be avoided...
February 12, 2019: IEEE Transactions on Cybernetics
Xiao Han, Yanlong Guo, Hong Gao, Jianmin Ma, Manjie Sang, Sheng Zhou, Tao Huang, Xiaoxuan Mao
Lung cancer as one of the major causes of cancer mortality has been demonstrated to be closely related to the ambient atmospheric environment, but little has been done in the synthetic evaluation of the linkage between cancer mortality and combined impact of ambient air pollution and meteorological conditions. The present study determined the environmental suitability for female lung cancer mortality associated with air contaminants and meteorological variables. A novel fuzzy matter-element method was applied to identify the spatial distribution and regions for the environmental suitability for the female lung cancer mortality across China in 2013...
February 12, 2019: Environmental Science and Pollution Research International
Jing Na, Shubo Wang, Yan-Jun Liu, Yingbo Huang, Xuemei Ren
Although adaptive control design with function approximators, for example, neural networks (NNs) and fuzzy logic systems, has been studied for various nonlinear systems, the classical adaptive laws derived based on the gradient descent algorithm with σ-modification or e-modification cannot guarantee the parameter estimation convergence. These nonconvergent learning methods may lead to sluggish response in the control system and make the parameter tuning complex. The aim of this paper is to propose a new learning strategy driven by the estimation error to design the alternative adaptive laws for adaptive control of nonlinear servo systems...
February 7, 2019: IEEE Transactions on Cybernetics
Shubhangi Srivastava, Gayatri Mishra, Hari Niwas Mishra
Fuzzy controller artmap based algorithms via E-nose selective metal oxides sensor (MOS) data was applied for classification of S. oryzae infestation in rice grains. The screened defuzzified data of selective sensors was further applied to detect S. oryzae infested rice with PCA and MLR techniques. Reliability of data was cross validated with reference methods of protein and uric acid content. Out of 18 MOS, 6 sensors namely P30/2, P30/1, T30/1, P40/2, T70/2 and PA/2 showed maximum resistivity change. Defuzzified score of 62...
June 15, 2019: Food Chemistry
Zhongguo Li, Puqi Jia, Fu Zhao, Yikun Kang
With the increasing awareness of energy conservation and environmental protection, high energy-consuming incandescent lamps have been largely withdrawn from the stage of mainland China's lighting industry because the main raw material for electricity production-coal-produces mercury pollution when burned and energy-saving fluorescent lamps have made considerable progress. However, fluorescent lamps emit mercury, which still causes environmental pollution. In this work, the existing problems in the development of fluorescent lamps, and in the collection and treatment of spent fluorescent lamps were analyzed...
December 6, 2018: International Journal of Environmental Research and Public Health
Wei Zhao, Huaipin Zhang
This paper is concerned with the design of distributed optimal coordination control for nonlinear multi-agent systems (NMASs) based on event-triggered adaptive dynamic programming (ETADP) method. The method is firstly introduced to design the distributed coordination controllers for NMASs, which not only avoids the transmission of redundant data compared with traditional time-triggered adaptive dynamic programming (TTADP) strategy and minimizes the performance function of each agent. The event-triggered conditions are proposed based on Lyapunov functional method, which is deduced by guaranteeing the stability of NMASs...
January 24, 2019: ISA Transactions
Xiaoqian Mao, Wei Li, Chengwei Lei, Jing Jin, Feng Duan, Sherry Chen
This paper presents a new brain robot interaction system by fusing human and machine intelligence to improve the real-time control performance. This system consists of a hybrid P300 and SSVEP mode conveying a human being's intention, and the machine intelligence combining a Fuzzy-logic-based image processing algorithm with multi-sensor fusion technology. A subject selects an object of interest via P300, and the classification algorithm transfers the corresponding parameters to Improved Fuzzy Color Extractor (IFCE) for object extraction...
February 4, 2019: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Hongjing Liang, Yanhui Zhang, Tingwen Huang, Hui Ma
This paper studies the quantized cooperative control problem for multiagent systems with unknown gains in the prescribed performance. Different from the finite-time control, a speed function is designed to realize that the tracking errors converge to a prescribed compact set in a given finite time for multiagent systems. Meanwhile, we consider the problem of unknown gains and input quantization, which can be addressed by using a lemma and Nussbaum function in cooperative control. Moreover, the fuzzy logic systems are proposed to approximate the nonlinear function defined on a compact set...
January 31, 2019: IEEE Transactions on Cybernetics
Jiwen Fang, Wei Zhong, Chong Li, Zhong Zhao, Michael Yu Wang
This paper outlines a precision motion stage actuated by using a voice coil motor with a floating stator. For getting good performance, a multi-mode sliding mode control (MMSMC) was designed to operate this linear motion stage. MMSMC contains two sliding mode controllers: a sliding-mode control (SMC) and an integral sliding-mode control. The switching of two SMCs will be activated according to the setting error threshold. In order to eliminate the chattering phenomenon, a soft switching control is developed to replace the signum function with a smooth function...
January 2019: Review of Scientific Instruments
Maozhu Jin, Lijun Song, Hua Wang, Qian Zhang
In order to study the effects of two strategies of the non-linear supply chain with and without shortage on the dynamic behavior of remanufacturing supply chain system, a non-linear system model with non-return supply constrained by the current level of supply service and recovery capacity constrained by the maximum recovery capacity is established, which is more in line with the actual situation. In order to accurately analyze the dynamic performance of the system so as to effectively suppress the impact of uncertainty and ultimately achieve the stable operation of the system, the research on the operation process of the nonlinear supply chain system is deepened and the fuzzy robust control method is deeply studied...
January 2019: Chaos
Evan A Wilhelms, Liana Fraenkel, Valerie F Reyna
We tested predictions of fuzzy-trace theory that qualitative health status and gist representations (ordinal and categorical) of risks contribute to willingness to start medications, beyond effects of objective risk, emotion (worry), and numeracy. Adults in two experiments were given hypothetical scenarios based on actual medications, varying health status quo (acceptable or unacceptable), adverse event (pneumonia or cancer), and four levels of quantitative risk (from 1/100,000 to 1/100) between subjects. In both experiments, cancer and higher quantitative risk elicited greater worry and risk perceptions and reduced willingness to start a new medication...
November 2018: Applied Cognitive Psychology
Adam Khalifa Mohamed, Liu Dan, Song Kai, Mohamed A A Mohamed, Elsiddig Aldaw, Basheer A Elubid
Groundwater is a major water resource in the North Chengdu Plain, China. The research objective is to determine the quality and suitability of groundwater for drinking purposes within the vicinity of a shallow, unconsolidated aquifer of Quaternary age. In this study, a detailed investigation was conducted to define the hydrochemical characteristics that control the quality of groundwater, based on traditional methods. Considering the uncertainties linked with water resources and the environmental complications, the fuzzy logic method was used in the determination of groundwater quality for more precise findings that support decision-making...
January 23, 2019: International Journal of Environmental Research and Public Health
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