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Relevant bibliographies by topics / Fuzzy switcher rules

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Journal articles
Dissertations / Theses
Conference papers

Academic literature on the topic 'Fuzzy switcher rules'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Fuzzy switcher rules"

1

Qi, Wei Qiang, Yan Ran Li, Hai Feng Ye, Da Peng Duan, and Xiu Chen Jiang. "Research on Classification of Partial Discharge of Switchgear Cabinets Based on a Novel Association Rule Algorithm." Applied Mechanics and Materials 448-453 (October 2013): 3485–93. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.3485.

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In order to assess switchgear insulation status, a novel association rule mining (ARM) algorithm is presented. It is used to recognize the severity of switchgear cabinet partial discharge. The algorithm uses fuzzy C-means clustering (FCM) to divide partial discharge feature interval, candidate sets meeting minimum support and minimum confidence are sought based on an improved Apriori algorithm. Multiple recursions and scans are performed on candidate sets to generate association rules library for classification. Fuzzy reasoning based on association rules are performed over multiple needle coro

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Eksin, I., M. Güzelkaya, and S. Tokat. "Self-tuning mechanism for sliding surface slope adjustment in fuzzy sliding mode controllers." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 216, no. 5 (2002): 393–406. http://dx.doi.org/10.1177/095965180221600503.

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There is an important relationship between fuzzy logic control and sliding mode control and integrating them to exploit the superior sides of these two techniques is an active area in control theory. The dynamic behaviour of the hybrid fuzzy sliding mode depends quite heavily on the sliding surface on which the control structure is switched. The main objective of this paper is to improve the system performance by continuously updating the slope of the sliding surface by a new time-varying coefficient. General and system independent meta-rules are generated in order to update this coefficient.

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Jiang, Taiping, Zili Wang, and Fuyang Chen. "Urban Traffic Signals Timing at Four-Phase Signalized Intersection Based on Optimized Two-Stage Fuzzy Control Scheme." Mathematical Problems in Engineering 2021 (March 12, 2021): 1–9. http://dx.doi.org/10.1155/2021/6693562.

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This paper proposes a signal timing scheme through a two-stage fuzzy logic controller. The controller first determines the signal phase and then adjusts the green time. At the first stage, the adaptive membership function of vehicle arrival rate is improved to adapt to the changing traffic flow. In addition to arrival rate and queue vehicles, a specific phase order rule is considered to avoid disordered phase selection in fuzzy control. At the second stage, the green time detection module decides whether to extend the current green time or switch phases every few seconds and the vehicle arriva

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Pushparajesh V. and Narayana Swamy Ramaiah. "Artificial Intelligent Controller-Based Speed Control of Switched Reluctance Motor." International Journal of Organizational and Collective Intelligence 11, no. 3 (2021): 1–13. http://dx.doi.org/10.4018/ijoci.2021070101.

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A new control methodology for controlling the speed of switched reluctance motor (SRM) drive using an intelligent controller is proposed in this paper. The control technology consists of an outer loop fuzzy controller as a speed controller and hysteresis current controller as the inner control loop along with control of switching angles for the four-phase, 8/6 SRM. In this proposed method, the speed control is optimized using the randomly determined fuzzy parameters. Fuzzy interfaced speed control of SRM is simulated using MATLAB/SIMULINK software. The robust performance of the fuzzy logic con

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5

Ghalehnoie, Mohsen, Mohammad-Reza Akbarzadeh-Tootoonchi, and Naser Pariz. "Fuzzy control design for nonlinear impulsive switched systems using a nonlinear Takagi-Sugeno fuzzy model." Transactions of the Institute of Measurement and Control 42, no. 9 (2020): 1700–1711. http://dx.doi.org/10.1177/0142331219894867.

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This paper deals with the fuzzy control design for nonlinear impulsive switched systems modeled by a novel nonlinear Takagi-Sugeno (T-S) fuzzy structure. To model, this structure only uses some of the nonlinearities as premise variables. So, the derived model has fewer rules compared with the traditional T-S fuzzy models that utilize standard local sector nonlinearity; and accordingly, the number of stability/stabilization conditions is sharply reduced. In our structure, considering only a part of nonlinearities as premise variables causes that some of the local models in the consequent part o

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Zhou, Linna, Qianjin Wang, Xiaoping Ma, and Chunyu Yang. "Fuzzy Controllers for Nonaffine-in-Control Singularly Perturbed Switched Systems." Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/896413.

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This paper investigates the problem of fuzzy controller design for nonaffine-in-control singularly perturbed switched systems (NCSPSSs). First, the NCSPSS is approximated by Takagi-Sugeno (T-S) models which include not only state but also control variables in the premise part of the rules. Then, a dynamic state feedback controller design method is proposed in terms of linear matrix inequalities. Under the controller, stability bound estimation problem of the closed-loop system is solved. Finally, an example is given to show the feasibility and effectiveness of the obtained methods.

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Milani, Armin Ebrahimi, and Mahmood Reza Haghifam. "A Heuristic Approach for Multi Objective Distribution Feeder Reconfiguration." International Journal of Applied Evolutionary Computation 1, no. 2 (2010): 60–73. http://dx.doi.org/10.4018/jaec.2010040103.

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The reconfiguration is an operation process used for optimization with specific objectives by means of changing the status of switches in a distribution network. This paper presents an algorithm for network recon-figuration based on the heuristic rules and fuzzy multi objective approach where each objective is normalized with inspiration from fuzzy set to cause optimization more flexible and formulized as a unique multi objective function. Also, the genetic algorithm is used for solving the suggested model, in which there is no risk of non-linear objective functions and constraints. The effect

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Zhang, Jie, Ming Lv, Peng Fei Guo, Liang He, and Yu Ming Bo. "Fault Detection of Robot Control Systems Based on Available Wireless Network Measurements." Applied Mechanics and Materials 300-301 (February 2013): 604–10. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.604.

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Considering some robot control systems which employ wireless networks to transmit sensor signals between the controller and the nonlinear controlled object, the fault detection is carried out. Firstly, based on T-S fuzzy model, the object is linearized. The fuzzy observer is designed and the error equation of the observer is given by using the fuzzy dominant subsystem rule. Secondly, the error equation is equal to the discrete switched system related to the hop count of the wireless transmission, and the stability of the error system is proved. Finally, a simulation example is given to demonst

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Mitchell, H. B., and D. D. Estrakh. "A Fuzzy Switched DPCM Predictor for Lossless Compression of Noisy Images." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 05, no. 06 (1997): 689–99. http://dx.doi.org/10.1142/s0218488597000506.

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Differential pulse code modulation (DPCM) algorithms are widely used to compress gray-scale pictures. A critical element in a DPCM algorithm is the accurate prediction of the pixel gray-levels in the input picture. The switched predictors used in modern DPCM algorithms are generally accurate when the input picture is free of noise. However, even small amounts of noise in the input picture will cause a substantial reduction in prediction accuracy and in turn a reduction in compression efficiency. In this paper we describe a novel fuzzy rule-based predictor for use in a lossless DPCM algorithm.

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Zeng, Yuping, Zhikai Huang, Yang Cai, Yonggang Liu, Yue Xiao, and Yang Shang. "A Control Strategy for Driving Mode Switches of Plug-in Hybrid Electric Vehicles." Sustainability 10, no. 11 (2018): 4237. http://dx.doi.org/10.3390/su10114237.

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Driving mode switches of hybrid vehicles are significant events. Due to the different dynamic characteristics of the engine, motor, and wet clutch, it is difficult to coordinate torque fluctuations caused by mode switches. This paper focused on a control strategy for driving mode switches of plug-in hybrid electric vehicles (PHEVs) with a multi-disk wet clutch. First, the dynamic model of the PHEV was established, and a rule-based control strategy was proposed to divide the working mode regions and distribute the torque between engine and motor. Second, the dual fuzzy control strategy for a we

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Dissertations / Theses on the topic "Fuzzy switcher rules"

1

Zhao, Jibo. "An Efficient Wide-Speed Direct Torque Control Based on Fuzzy Logic Technique." University of Toledo / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1352922315.

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Conference papers on the topic "Fuzzy switcher rules"

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Su, Xiaojie, Fengqin Xia, Xinxin Liu, and Rongni Yang. "Fuzzy-rule-based model reduction for switched nonlinear systems." In 2016 35th Chinese Control Conference (CCC). IEEE, 2016. http://dx.doi.org/10.1109/chicc.2016.7553932.

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Wang, Xiang, and Mei Li. "Rotor Position Simulation of Switched Reluctance Motor Based on Fuzzy Inference Rules." In 2009 International Conference on Innovation Management (ICIM). IEEE, 2009. http://dx.doi.org/10.1109/icim.2009.25.

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Yang, Ting, Guangxu Zhou, Chuanwen Zhang, Mengmei Zhu, Jingde Wang, and Yijun Liu. "Current chopping control based on fuzzy logic rules for switched reluctance motor." In 2020 Chinese Automation Congress (CAC). IEEE, 2020. http://dx.doi.org/10.1109/cac51589.2020.9327543.

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Fithritama, Alifia, Eric Rondeau, Vincent Bombardier, and Jean-Philippe Georges. "Modeling fuzzy rules for managing power consumption of ethernet switch." In 2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE, 2015. http://dx.doi.org/10.1109/softcom.2015.7314106.

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Huang, Shiuh-Jer, Shian-Shin Wu, and You-Min Huang. "Gain Scheduling Fuzzy Sliding Mode Strategy for Robotic Motion Control." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-24249.

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A Mitsubishi Movemaster RV-M2 robotic system control system is retrofitted into system-on-programmable-chip (SOPC) control structure. The software embedded in Altera Nios II field programmable gate array (FPGA) micro processor has the functions of using UART to communicate with PC, robotic inverse kinematics calculation, and robotic motion control. The digital hardware circuits with encoder decoding, limit switch detecting, pulse width modulation (PWM) generating functions are designed by using Verilog language. Since the robotic dynamics has complicate nonlinear behavior, it is impossible to

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