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2021 Index IEEE Transactions on Circuits and Systems I: Regular Papers Vol. 68
2021
IEEE Transactions on Circuits and Systems Part 1: Regular Papers
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The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
., +, TCSI Jan. 2021 396-405 Containment Control for Networked Fractional-Order Systems With Sampled Position Data. ...
Efficient Design of Spiking Neural Network With STDP Learning Based on Fast CORDIC. ...
doi:10.1109/tcsi.2021.3134605
fatcat:txqhqj7nvnh6pp5dqloynq5jku
2021 Index IEEE Transactions on Circuits and Systems II: Express Briefs Vol. 68
2021
IEEE Transactions on Circuits and Systems - II - Express Briefs
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The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
Effect of Various Delay Line Ratios and Their Non-Linearity on the Performance of DIFM. ...
Kim, T., +, TCSII Dec. 2021 3582-3586 Visual Servoing of Flying Robot Based on Fuzzy Adaptive Linear Active Disturbance Rejection Control. ...
doi:10.1109/tcsii.2022.3144928
fatcat:bm53w7gva5bthholfhhiq4yg3a
2020 Index IEEE Transactions on Circuits and Systems II: Express Briefs Vol. 67
2020
IEEE Transactions on Circuits and Systems - II - Express Briefs
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, J., and Zhang, L., Quantized Fuzzy Finite-Time Control for Nonlinear Semi-Markov Switching Systems; TCSII Nov. 2020 2622-2626 Qi, X., see Liu, W., 1249-1253 Qian, G., see Dong, F., TCSII Dec. 2020 ...
, R.K., 2918-2922 Jayaraj, A., Nitin Gujarathi, N., Venkatesh, I., and Sanyal, A., 0.6-1.2 V, 0.22 pJ/bit True Random Number Generator Based on SAR ADC; TCSII Oct. 2020 1765-1769 Je, M., see Lee, T. ...
., +, Stabilization of DC Nanogrids Based on Non-Integer General Type-II Fuzzy System. ...
doi:10.1109/tcsii.2020.3047305
fatcat:ifjzekeyczfrbp5b7wrzandm7e
Extended dissipativity and non-fragile synchronization for Recurrent neural networks with multiple time-varying delays via sampled-data control
2021
IEEE Access
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A non-fragile sampled-data approach is applied to investigate the problem of neural networks with multiple time-varying delays, which ensures that the master system synchronizes with the slave system and ...
INDEX TERMS Dissipative analysis, multiple time-varying delay, recurrent neural networks, synchronization, sampled-data control. R. ...
The idea of reliable asynchronous sampled-data filtering of T-S fuzzy uncertain delayed neural networks with stochastic switched topologies has been considered in [27] . ...
doi:10.1109/access.2021.3060044
fatcat:b4tvzdvctjbn7gjg5yt62ptepa
Fractional Order Control of Power Electronic Converters in Industrial Drives and Renewable Energy Systems: A Review
2021
IEEE Access
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There is a need to highlight the potential of fractional order control in power electronics for the highly efficient systems of tomorrow. ...
The review also points out that there is tremendous scope for the design of modular fractional-order intelligent controllers. ...
Incorporation of fuzzy and neural network strategies into SMC and TSMC have been used to enhance the robustness of active power filters and boost converters [18] , [56] , [57] . ...
doi:10.1109/access.2021.3073033
fatcat:bw7xrlcb6fh2vgtpi4zedo7xu4
Recent advances in mechatronics
1996
Robotics and Autonomous Systems
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Typesetting: Camera-ready by Contributors SPIN 10717447 543210 (Robotics Society of Japan) and SICE (Society of Instr. and Control Engineers of Japan). ...
The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or ...
The authors gratefully acknowledge the grant provided by the OTKA Fund for Research of the Hungarian Government. Project number is T 026090. ...
doi:10.1016/s0921-8890(96)00039-5
fatcat:l5fd4hwa2rbu3l6f2jucyj2fxy
Research on Fault Diagnosis of Six-Phase Propulsion Motor Drive Inverter for Marine Electric Propulsion System Based on Res-BiLSTM
2022
Machines
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It has certain robustness and can be applied to marine electric propulsion systems drive inverter fault diagnosis, and its results can provide data support for the implementation of self-healing control ...
The effectiveness of the method is verified using noise-free fault data, and the robustness of the method is verified using data with varying degrees of noise. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/machines10090736
fatcat:aabuydnmjvcu7lvmxsh23ezazq
Table of contents
2010
ICCAS 2010
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TE07-5
Robust Flight Control System Using Neural Networks
657
JuWon LEE, JinBae PARK and YoonHo Choi
TE07-6
A fuzzy filter with missing measurement for observer-based T-S fuzzy models
663 ...
in Turning Operation Using
Artificial Neural Network
172
Bandit Suksawat
TA07-4
A Reinforcement Learning System Embedded Agent with Neural Network-Based Multi-Valued Pattern
Memory Structure ...
doi:10.1109/iccas.2010.5669694
fatcat:43uj6owxh5c63gr2mn5shli5ja
Foreword of Special Issue on "E-Service and Applications"
2011
Journal of Computers
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deployment configuration, Web services, Vision on novel advances of automated intelligent business agents and e-Commerce, Modeling and simulation of business processes, e-Supply Chains, e-Logistics, e-Procurement ...
In order to increase the accessibility of the healthcare support e-service, the second paper entitled "A Study on Healthcare Support e-Service Design for Senior Citizens" by Prof. ...
Ranga Naras, the Dean of Graduate School of University of Northern Virginia, who is also the first author's doctoral dissertation research supervisor. ...
doi:10.4304/jcp.6.3.387-388
fatcat:6uf2oayvbbfibphaobqewpnkx4
Optimal fuzzy system design for additive noise removal in color images
2013
IOSR Journal of Electronics and Communication Engineering
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use pixel similarity based concept.The Gaussian noise will be removed by using weighted mean filtering of peer group members. ...
This paper presents a new approach to remove the additive noise using fuzzy logic and modified bacterial foraging in color images. ...
Acknowledgements The authors thank the reviewers for their valuable comments and suggestions that helped us to make the paper in its present form Speed and Position Control of Train System Using GPS www.iosrjournals.org ...
doi:10.9790/2834-560107
fatcat:hhbke72jsrcuxhvryf777lq3ja
A Comprehensive Review of Myoelectric Prosthesis Control
[article]
2021
arXiv
pre-print
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In this paper, the following myoelectric prosthesis control methods were discussed in detail: On-off and finite-state, proportional, direct, and posture, simultaneous, classification and regression-based ...
Some of myoelectric prosthesis control's significant challenges are comfort, durability, cost, the application of under-sampled signals, and electrode shift. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
arXiv:2112.13192v1
fatcat:oc6kfbcrerduxfselt7izd2lp4
Dynamic compensation of reactive power in Various Faults in Power System
2012
IOSR Journal of Electrical and Electronics Engineering
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The STATCOM (Synchronous Static Compensator) based on voltage source converter (VSC) is used for voltage regulation in transmission and distribution system. ...
Strict requirements of STATCOM losses and total system loss penalty preclude the use of PWM (Pulse-Width Modulation) for VSC based STATCOM applications. ...
And the authors are also thankful to the Himachal Pradesh Electricity Board (HPSEB), India for providing the transformer oil samples for experiment. ...
doi:10.9790/1676-0330107
fatcat:uftslsavbrcmve5hiovqfmhhcm
Adaptive Data Fusion Method of Multisensors Based on LSTM-GWFA Hybrid Model for Tracking Dynamic Targets
2022
Sensors
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Based on a mature refitted civil wing UAV platform, the field experiments verified the data fusion method for tracking dynamic target is effective, stable, and has generalization ability. ...
According to the air combat tracking scenarios and traditional multisensor weighted fusion algorithms, this paper contains designs of a new data fusion method using a global Kalman filter and LSTM prediction ...
[30] proposed a wireless sensor network data fusion algorithm (IGWOBPDA) based on an improved gray wolf algorithm and an optimized BP neural network by improving control parameters and updating the ...
doi:10.3390/s22155800
pmid:35957355
pmcid:PMC9370964
fatcat:djl2x37i2vbd5dijy3nhsscsta
Modern Applied Science, Vol. 3, No. 4, April 2009, all in one file
2009
Modern Applied Science
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Comparison of the base and expanded models showed that, although the goodness-of-fit measures on the modelling data were improved with the inclusion of top height and basal area, the predictive accuracy ...
It also reaffirms that determining the adequacy of a model on model fitting statistics alone can be misleading. A fitted model is best judged on separate validation data. ...
Thanks also go to Polmer Sinaga, S.Si. and Ardi Fanta Yuda who have helped us in the preparation of the samples. ...
doi:10.5539/mas.v3n4p0
fatcat:zy26n4n5wjhwjktpcw4jtbs7fm
FUZZY OPTIMIZATION FOR BUSINESS ANALYTICS AND DATA SCIENCE
[article]
2023
Zenodo
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FUZZY OPTIMIZATION FOR BUSINESS ANALYTICS AND DATA SCIENCE ...
The fuzzy neural network on the top left is the one in charge of learning the fuzzy set by utilizing the data that is supplied for training. ...
Because of this, fuzzy neural networks (FNNs) combine the best aspects of neural networks and fuzzy logic; therefore, the term "fuzzy neural networks." ...
doi:10.5281/zenodo.8318483
fatcat:34tbyptdevelfe457bsfux3vgy
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