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A fuzzy logic feedback filter design tuned with PSO for L1 adaptive controller

Hashim A. Hashim, Sami El-Ferik, Mohamed A. Abido
2015 Expert systems with applications  
fuzzy L1 adaptive control, Filter tuning, Fuzzy membership function tuning, optimal, optimal tuning, Fuzzy membership function optimization, Robustness, Adaptation, multi-input multi-output, single-input  ...  L1 adaptive controller has been recognized for having a structure that allows decoupling between robustness and adaption owing to the introduction of a low pass filter with adjustable gain in the feedback  ...  The range of input membership functions was adjusted between 0.08 and 1 and their values were selected as shown in Figure 5 .  ... 
doi:10.1016/j.eswa.2015.08.026 fatcat:oysmmjvibfaajlvlybuo3wuhs4

A fuzzy-PSO system for indoor localization based on visible light communications

Giovanni Pau, Mario Collotta, Vincenzo Maniscalco, Kim-Kwang Raymond Choo
2018 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
A particle swarm optimization (PSO) technique is then employed to obtain the optimal configuration of the proposed fuzzy logic controllers (FLCs).  ...  Specifically, the proposed PSO technique optimizes the membership functions of the FLCs by adjusting their range to achieve the best results regarding the localization reliability.  ...  In particular, PSO is used to optimize the membership functions of the Fuzzy Logic Controller, by adjusting their range.  ... 
doi:10.1007/s00500-018-3212-z fatcat:xjaj2cm3mnfivndrwxagjj3xsa

Fuzzy Logic Based Environment Control of Operation Theatre

Sakshi Srivastav, Et. al.
2021 Turkish Journal of Computer and Mathematics Education  
The control system is implemented with the help of different fuzzy rules and their membership functions derived from actual conditions.  ...  In paper, we present an approach to control total environmental conditions for the operation theatre. Generally for environmental control of operation theatre air conditioning system is installed.  ...  In future the fuzzy logic control of environment can be studied by improving the conditions of filtering system with reference to response time etc.  ... 
doi:10.17762/turcomat.v12i1s.1761 fatcat:3vxa7h3vevalzbyo7rbzhjlgli

Navigation Performance Enhancement Using IMM Filtering for Time Varying Satellite Signal Quality

Dah-Jing Jwo, Shu-Ming Chang, Jen-Hsien Lai, D.D. Wijaya
2019 E3S Web of Conferences  
A novel scheme using fuzzy logic based interacting multiple model (IMM) unscented Kalman filter (UKF) is employed in which the Fuzzy Logic Adaptive System (FLAS) is utilized to address uncertainty of measurement  ...  For enhancing further system flexibility, the fuzzy logic system is introduced.  ...  The basic structure of the fuzzy system is shown inFig. The fuzzy system. Fig. 3 . 3 Membership functions of the output fuzzy variable  for the two models in the IMM.  ... 
doi:10.1051/e3sconf/20199402004 fatcat:7qolt3gcazbffcvffcfs4kla54

Driver Drowsiness Detection Based on Steering Wheel Data Applying Adaptive Neuro-Fuzzy Feature Selection

Sadegh Arefnezhad, Sajjad Samiee, Arno Eichberger, Ali Nahvi
2019 Sensors  
Finally, the classifier accuracy is exploited to adjust parameters of an adaptive fuzzy system using a particle swarm optimization (PSO) algorithm.  ...  After that, output values of each filter index are imported as inputs to a fuzzy inference system to determine the importance degree of each feature and select the most important features.  ...  Fuzzy Inference System In order to combine advantages of four used filter feature selection methods, fuzzy logic and adaptive adjustment of its parameters have been exploited.  ... 
doi:10.3390/s19040943 fatcat:be4q55lbgng2phv5ul3ebsezoa

Optimal Tuning of Fuzzy Feedback filter for L1 Adaptive Controller Using Multi-Objective Particle Swarm Optimization for Uncertain Nonlinear MIMO Systems [article]

Hashim A. Hashim and Sami El-Ferik and Babajide O. Ayinde and Mohamed A. Abido
2018 arXiv   pre-print
MOPSO guarantees the appropriate selection of the fuzzy membership functions.  ...  This paper proposes a fuzzy-based L1 feedback filter design tuned with multi-objective particle swarm optimization (MOPSO) to remove these bottlenecks.  ...  Fuzzy logic controller (FLC) has been widely used in control applications to design smooth control signals for nonlinear systems.  ... 
arXiv:1710.05423v5 fatcat:cncoop3wqzhbxcll45fgufni44

Implementation of Fuzzy Aided Kalman Filter for Tracking a Moving Object in Two-Dimensional Space

Khondker Rawan Hamid, Azzama Talukder, A. K. M. Ehtesanul Islam
2018 International Journal of Fuzzy Logic and Intelligent Systems  
The proposed fuzzy logic controller is a multiple input system with nine rules to adapt noise covariance matrices based on the innovation sequence of a Kalman filter.  ...  Because of its accurate estimation characteristic, we have used Kalman filter to estimate the motion parameters of a moving object and then fuzzy logic technique is used to improve the performance of Kalman  ...  Figure 1 . 1 Membership functions: (a) input membership function S rk (b) input membership function S k . ZE, zero; NS, negative small; L, large. Figure 2 . 2 Output membership function, AdjR.  ... 
doi:10.5391/ijfis.2018.18.2.85 fatcat:puvq4y73yjah7dgdg6sz6bk5ka

A Novel Hybrid Soft Computing Technique for Extracting Fetal ECG from Maternal ECG Signal

S Saranya., Mrs.Suja S Priyadharsini.
2010 International Journal of Computer Applications  
Inference System (ANFIS).  ...  The proposed approach extracts the FECG from two ECG signals recorded at the thoracic and abdominal areas of the mother's skin, with the help of a hybrid soft computing technique called Adaptive Neuro-Fuzzy  ...  Using a given input/output data set, the toolbox function ANFIS constructs a fuzzy inference system (FIS) whose membership function parameters are tuned (adjusted) using either a back propagation algorithm  ... 
doi:10.5120/751-1061 fatcat:dokq5chtabgs5enytxb6dhcewa

Particle Swarm Optimized Fuzzy Controller for Luo Converter

N. Nachammai, R. Kayalvizhi
2017 International Journal of Engineering Research and  
However, the rules and the membership functions of a fuzzy logic controller are based on expert experience or knowledge database.  ...  To ensure that the controllers work well in large signal conditions and to enhance their dynamic responses, soft computing techniques such as Fuzzy Logic controller (FLC) and Particle Swarm Optimization  ...  With regards to the first part of the particle identifying the membership functions, a maximum number of seven fuzzy sets has been chosen.  ... 
doi:10.17577/ijertv6is100080 fatcat:g5f2a4axejbtfddym7ruv55h44

A Note on Advantages of the Fuzzy Gabor Filter in Object and Text Detection

Vladimir Tadic, Tatjana Loncar-Turukalo, Akos Odry, Zeljen Trpovski, Attila Toth, Zoltan Vizvari, Peter Odry
2021 Symmetry  
The fuzzy Gabor filter proved to be a robust text an object detection method in low-quality input images as extensively evaluated in the problem of license plate localization.  ...  when compared to the classic Gabor filter.  ...  Acknowledgments: The authors would like to thank the editors and the anonymous reviewers for their valuable comments that significantly improved the quality of this paper.  ... 
doi:10.3390/sym13040678 doaj:d9e398fbf86049f3afbc56adeb178e5b fatcat:njuxxmd47jdedkcbuwnnx3ev34

A Fuzzy Gravitational Search Algorithm to Design Optimal IIR Filters

Danilo Pelusi, Raffaele Mascella, Luca Tallini
2018 Energies  
Both the approaches give rise to a Fuzzy Gravitational Search  ...  A fuzzy logic-based adaptive gravitational search algorithm dedicated to the optimal tuning of fuzzy controllers for servo systems was proposed by Precup et al. [33] .  ...  Membership functions of the fuzzy input P p . Membership functions of the fuzzy output α. Figure 4 . 4 Architecture of Fuzzy Inference System (FIS) to adjust α.  ... 
doi:10.3390/en11040736 fatcat:f35fyxi5cvhehg4qzicwgcb34u

Training ANFIS structure with modified PSO algorithm

V. Seydi Ghomsheh, M. Aliyari Shoorehdeli, M. Teshnehlab
2007 2007 Mediterranean Conference on Control & Automation  
In this study we apply one of the swarm intelligent branches, named particle swarm optimization (PSO) with some modification in it to the training of all parameters of ANFIS structure.  ...  This paper introduces a new approach for training the adaptive network based fuzzy inference system (ANFIS). The previous works emphasized on gradient base method or least square (LS) based method.  ...  The membership functions are assumed Gaussian as in equation Identification of a nonlinear dynamic system.  ... 
doi:10.1109/med.2007.4433927 fatcat:4jhxzxhkqjdeboooydvfvx7kue

Advanced and Innovative Optimization Techniques in Controllers: A Comprehensive Review

Aditya Tiwary
2021 International Journal on Recent and Innovation Trends in Computing and Communication  
New commercial power electronic controllers come to the market almost every day to help improve electronic circuit and system performance and efficiency.  ...  In DC–DC switching-mode converters, a simple and elegant hysteretic controller is used to regulate the basic buck, boost and buck–boost converters under slightly different configurations.  ...  The developed QLSA is implemented in fuzzy logic controller to generate suitable input and output fuzzy membership function for IM drive speed controller [46] . Pajares et al.  ... 
doi:10.17762/ijritcc.v9i3.5469 fatcat:7wcd55jkgbas5eojbfaxkxfunu

Adaptive AOA-Aided TOA Self-Positioning for Mobile Wireless Sensor Networks

Chih-Yu Wen, Fu-Kai Chan
2010 Sensors  
The proposed positioning scheme performs location estimation in three phases: (I) AOA-aided TOA measurement, (II) Geometrical positioning with particle filter, and (III) Adaptive fuzzy control.  ...  This paper presents a network-based positioning system and outlines recent work in which we have developed an efficient principled approach to localize a mobile sensor using time of arrival (TOA) and angle  ...  Adaptive Fuzzy Control Due to the effectiveness of the fuzzy logic controller in minimizing the estimation error [15, 35] , an adaptive fuzzy control system is developed to approach the true target coordinate  ... 
doi:10.3390/s101109742 pmid:22163438 pmcid:PMC3231032 fatcat:i2cw2kpkqjcj3emrf5cia4u2h4

Particle Swarm Optimized Fuzzy Controller for Indirect Vector Control of Multilevel Inverter Fed Induction Motor [article]

Sanjaya Kumar Sahu, T. V. Dixit, D.D. Neema
2014 arXiv   pre-print
To ensure better performance of fuzzy controller all parameters such as membership functions, normalizing and de-normalizing parameters are optimized using PSO.  ...  The Particle Swarm Optimized (PSO) fuzzy controller has been proposed for indirect vector control of induction motor.  ...  The particle swarm optimized input and output membership functions are in Fig.11 .  ... 
arXiv:1409.2697v1 fatcat:nmgt5smh5rfehkx7k767utkxtq
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