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Distributed Fuzzy Extended Kalman Filter for Multiagent Systems
In this study, a novel distributed Kalman filter based on a possibilistic framework was proposed to mitigate fuzzy noisein nonlinear multiagent...
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Asynchronous Event-Triggered Finite-Time Filtering for Networked Switched T–S Fuzzy Systems
This paper investigates the problem of event-triggered finite-time robust filtering for a class of networked switched T–S fuzzy systems. By adopting...
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An integrated Fuzzy MCDM approach for modelling and prioritising the enablers of responsiveness in automotive supply chain using Fuzzy DEMATEL, Fuzzy AHP and Fuzzy TOPSIS
In this dynamic environment with unexpected changes and high market rivalry, supply chains focus more on executing responsive strategies with minimum...
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DT-CWT and type-2 fuzzy-HSAPF for harmonic compensation in distribution system
Extensive utilization of power electronics in different applications injects harmonics into degrading the power quality. Harmonics can be eliminated...
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Compound Adaptive Fuzzy Output Feedback Control for Uncertain Fractional-Order Nonlinear Systems with Fuzzy Dead-Zone Input
In this paper, tracking control of strict feedback fractional-order nonlinear systems with unmeasurable states and fuzzy dead-zone input is studied....
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Customizable Fuzzy-Neuro Inference System Attack Detection Based on Trust for Mobile Wireless Sensor Networks
Wireless Sensor Networks (WSN) when simulated for implementations use Mobile Sinks (MS) which are vulnerable to unauthorized attacks. Existing works...
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Collaborative filtering with q-divergence-based fuzzy clustering for spherical data
Although recommendation systems are the most powerful tool to help people choose items, a higher recommendation accuracy is required to satisfy the...
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Fuzzy Transform and Least-Squares Fuzzy Transform: Comparison and Application
Fuzzy transform is a novel and well-founded soft computing method for reconstruction and denoising of image data. Recently, a least-squares fuzzy...
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An efficient fuzzy model-based intrusion detection system for secured IOT network
The security of IoT is one of the important factors in the present world scenario. Due to the improvement in the usage of Internet technology,...
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Integral Sliding Mode Control Based on Command Filtering Backstep** for Dual-motor Servo Systems with Torque Disturbance
In order to mitigate the influence of the torque disturbance and improve the tracking performance of the dual-motor servo system, this paper designs...
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A personalized recommendation system for teaching resources in sports using fuzzy C-means clustering technique
Due to the fast-growing Internet speed, processing power, and the use of sophisticated algorithms, information is generated at a very fast speed....
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Optimized Distributed Fusion Filtering for Uncertain Nonlinear Systems With Missing Measurements: Algorithm Design and Boundedness Analysis
This paper investigates the optimized distributed fusion filtering (DFF) problem for a class of nonlinear discrete time-varying stochastic systems...
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A Fuzzy-based Adaptive Unscented Kalman Filter for State Estimation of Three-dimensional Target Tracking
Although several state estimation methods have been presented for nonlinear systems, the challenges in implementing these estimation methods for...
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Improved robust Huber–Kalman filtering
In this study, an improved robust Huber–Kalman filter (IRHKF) is derived based on robustifying the modified iterated extended Kalman filter (MIEKF)...
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Dissipative Filtering of Markovian Jum** Systems via Adaptive Sliding Mode Control
In this study, dissipative filtering of Markovian jum** systems (MJSs) is investigated using the sliding mode control (SMC) method. A novel dynamic...
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Fast Finite-time Adaptive Fuzzy Control for Stochastic Nonlinear System
In this article, we solve the fast finite-time stabilization as well as adaptive fuzzy control design issues for a class uncertain stochastic...
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Using fuzzy reasoning to improve redundancy elimination for data deduplication in connected environments
The Internet of Things is ushering in the era of connected environments where the number and diversity of data sources (devices and sensors) are...
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Adaptive intuitionistic fuzzy neighborhood classifier
Due to the diversity and complexity of the actual data distribution, the traditional neighborhood classifier (NEC) is weak in adapting to the global...
