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Fuzzy logic

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https://www.readbyqxmd.com/read/28534804/fuzzy-adaptive-decentralized-optimal-control-for-strict-feedback-nonlinear-large-scale-systems
#1
Kangkang Sun, Shuai Sui, Shaocheng Tong
This paper considers the optimal decentralized fuzzy adaptive control design problem for a class of interconnected large-scale nonlinear systems in strict feedback form and with unknown nonlinear functions. The fuzzy logic systems are introduced to learn the unknown dynamics and cost functions, respectively, and a state estimator is developed. By applying the state estimator and the backstepping recursive design algorithm, a decentralized feedforward controller is established. By using the backstepping decentralized feedforward control scheme, the considered interconnected large-scale nonlinear system in strict feedback form is changed into an equivalent affine large-scale nonlinear system...
May 16, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28531644/safety-evaluation-of-driver-cognitive-failures-and-driving-errors-on-right-turn-filtering-movement-at-signalized-road-intersections-based-on-fuzzy-cellular-automata-fca-model
#2
Chen Chai, Yiik Diew Wong, Xuesong Wang
This paper proposes a simulation-based approach to estimate safety impact of driver cognitive failures and driving errors. Fuzzy Logic, which involves linguistic terms and uncertainty, is incorporated with Cellular Automata model to simulate decision-making process of right-turn filtering movement at signalized intersections. Simulation experiments are conducted to estimate the relationships between cognitive failures and driving errors with safety performance. Simulation results show Different types of cognitive failures are found to have varied relationship with driving errors and safety performance...
May 19, 2017: Accident; Analysis and Prevention
https://www.readbyqxmd.com/read/28511067/a-fuzzy-logic-based-tool-to-assess-beef-cattle-ranching-sustainability-in-complex-environmental-systems
#3
Sandra A Santos, Helano Póvoas de Lima, Silvia M F S Massruhá, Urbano G P de Abreu, Walfrido M Tomás, Suzana M Salis, Evaldo L Cardoso, Márcia Divina de Oliveira, Márcia Toffani S Soares, Antônio Dos Santos, Luiz Orcírio F de Oliveira, Débora F Calheiros, Sandra M A Crispim, Balbina M A Soriano, Christiane O G Amâncio, Alessandro Pacheco Nunes, Luiz Alberto Pellegrin
One of the most relevant issues in discussion worldwide nowadays is the concept of sustainability. However, sustainability assessment is a difficult task due to the complexity of factors involved in the natural world added to the human interference. In order to assess the sustainability of beef ranching in complex and uncertain tropical environment systems this paper describes a decision support system based on fuzzy rule-approach, the Sustainable Pantanal Ranch (SPR). This tool was built by a set of measurements and indicators integrated by fuzzy logic to evaluate the attributes of the three dimensions of sustainability...
May 13, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28506863/the-null-test-for-peptide-identification-algorithm-in-shotgun-proteomics
#4
Shu-Rong Zhang, Yi-Chu Shan, Hao Jiang, Jian-Hui Liu, Yuan Zhou, Li-Hua Zhang, Yu-Kui Zhang
The present research proposed general evaluation strategy named Null-Test for peptide identification algorithm in Shotgun proteomics. The Null-Test method based on random matching can be utilized to check whether the algorithm has a tendency to make a mistake or has potential bugs, faultiness, errors etc., and to validate the reliability of the identification algorithm. Unfortunately, none of the five famous identification software could pass the most stringent Null-Test. PatternLab had good performance in both Null-Test and routine search by making a good control on the overfitting with sound design...
May 12, 2017: Journal of Proteomics
https://www.readbyqxmd.com/read/28494999/modeling-and-control-of-operator-functional-state-in-a-unified-framework-of-fuzzy-inference-petri-nets
#5
Jian-Hua Zhang, Jia-Jun Xia, Jonathan M Garibaldi, Petros P Groumpos, Ru-Bin Wang
BACKGROUND AND OBJECTIVE: In human-machine (HM) hybrid control systems, human operator and machine cooperate to achieve the control objectives. To enhance the overall HM system performance, the discrete manual control task-load by the operator must be dynamically allocated in accordance with continuous-time fluctuation of psychophysiological functional status of the operator, so-called operator functional state (OFS). The behavior of the HM system is hybrid in nature due to the co-existence of discrete task-load (control) variable and continuous operator performance (system output) variable...
June 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28479570/decision-support-systems-in-cardiology-a-systematic-review
#6
Aleksey Dudchenko, Georgy Kopanitsa
The aim of this work was to identify the most common approaches used in the intelligent decision support systems employed in the diagnosis of cardiovascular diseases and identify accuracy of these systems. Forty-one relevant publications were included in the review using Scopus and Web of Science. Knowledge base and fuzzy logic and ANN is the most commonly used approach to diagnosis and prediction. The accuracy of the considered systems reaches 98%.
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28479545/information-system-of-personalized-patient-s-adherence-level-determination
#7
Maksim Taranik, Georgy Kopanitsa
The present paper deals with intellectual system for determination and evaluation of personalized patient's level of adherence. The most popular nowadays techniques for adherence evaluation are interview and questionnaires. We propose a new automated approach based on the comparison of direct patient's data with personalized treatment plan using fuzzy logic and standard ISO 13606. On the current step, we process only manually submitted data. For the next step we are going to introduce sensor devices for the purposes of personalized patients' adherence determination...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28471387/a-probabilistic-and-highly-efficient-topology-control-algorithm-for-underwater-cooperating-auv-networks
#8
Ning Li, Baran Cürüklü, Joaquim Bastos, Victor Sucasas, Jose Antonio Sanchez Fernandez, Jonathan Rodriguez
The aim of the Smart and Networking Underwater Robots in Cooperation Meshes (SWARMs) project is to make autonomous underwater vehicles (AUVs), remote operated vehicles (ROVs) and unmanned surface vehicles (USVs) more accessible and useful. To achieve cooperation and communication between different AUVs, these must be able to exchange messages, so an efficient and reliable communication network is necessary for SWARMs. In order to provide an efficient and reliable communication network for mission execution, one of the important and necessary issues is the topology control of the network of AUVs that are cooperating underwater...
May 4, 2017: Sensors
https://www.readbyqxmd.com/read/28470502/engineering-risk-assessment-for-emergency-disposal-projects-of-sudden-water-pollution-incidents
#9
Bin Shi, Jiping Jiang, Rentao Liu, Afed Ullah Khan, Peng Wang
Without an engineering risk assessment for emergency disposal in response to sudden water pollution incidents, responders are prone to be challenged during emergency decision making. To address this gap, the concept and framework of emergency disposal engineering risks are reported in this paper. The proposed risk index system covers three stages consistent with the progress of an emergency disposal project. Fuzzy fault tree analysis (FFTA), a logical and diagrammatic method, was developed to evaluate the potential failure during the process of emergency disposal...
May 4, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28449282/organotitania-based-nanostructures-as-a-suitable-platform-for-the-implementation-of-binary-ternary-and-fuzzy-logic-systems
#10
Andrzej Blachecki, Justyna Mech-Piskorz, Marta Gajewska, Krzysztof Mech, Kacper Pilarczyk, Konrad Szacilowski
Titanium dioxide nanocomposites were synthesized in hierarchical architectures with the use of 1,4-dihydroxyanthraquinone photosensitizer. In the first step, the dye was either incorporated into the TiO2 core or adsorbed on its surface. In the subsequent phase, both structures were covered with an outer layer of titanium dioxide. The structure, morphology, aggregation, spectroscopic and electrochemical properties of the synthesized TiO2-based materials are presented with a special emphasis on the photosensitization and the photocurrent switching phenomena which are also discussed within the context of the optical logic gates implementation and fuzzy logic systems operation...
April 27, 2017: Chemphyschem: a European Journal of Chemical Physics and Physical Chemistry
https://www.readbyqxmd.com/read/28431487/design-and-fuzzy-logic-control-of-an-active-wrist-orthosis
#11
Ergin Kilic, Erdi Dogan
People who perform excessive wrist movements throughout the day because of their professions have a higher risk of developing lateral and medial epicondylitis. If proper precautions are not taken against these diseases, serious consequences such as job loss and early retirement can occur. In this study, the design and control of an active wrist orthosis that is mobile, powerful and lightweight is presented as a means to avoid the occurrence and/or for the treatment of repetitive strain injuries in an effective manner...
April 1, 2017: Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
https://www.readbyqxmd.com/read/28422700/adaptive-fuzzy-control-for-nonstrict-feedback-systems-with-unmodeled-dynamics-and-fuzzy-dead-zone-via-output-feedback
#12
Lijie Wang, Hongyi Li, Qi Zhou, Renquan Lu
This paper investigates the problem of observer-based adaptive fuzzy control for a category of nonstrict feedback systems subject to both unmodeled dynamics and fuzzy dead zone. Through constructing a fuzzy state observer and introducing a center of gravity method, unmeasurable states are estimated and the fuzzy dead zone is defuzzified, respectively. By employing fuzzy logic systems to identify the unknown functions. And combining small-gain approach with adaptive backstepping control technique, a novel adaptive fuzzy output feedback control strategy is developed, which ensures that all signals involved are semi-globally uniformly bounded...
April 12, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28420156/a-strain-based-method-to-estimate-slip-angle-and-tire-working-conditions-for-intelligent-tires-using-fuzzy-logic
#13
Daniel Garcia-Pozuelo, Jorge Yunta, Oluremi Olatunbosun, Xiaoguang Yang, Vicente Diaz
Tires equipped with sensors, the so-called "intelligent tires", can provide vital information for control systems, drivers and external users. In this research, tire dynamic strain characteristics in cornering conditions are collected and analysed in relation to the variation of tire working conditions, such as inflation pressure, rolling speed, vertical load and slip angle. An experimental tire strain-based prototype and an indoor tire test rig are used to demonstrate the suitability of strain sensors to establish relations between strain data and lateral force...
April 16, 2017: Sensors
https://www.readbyqxmd.com/read/28413358/the-soft-computing-based-approach-to-investigate-allergic-diseases-a-systematic-review
#14
Gennaro Tartarisco, Alessandro Tonacci, Paola Lucia Minciullo, Lucia Billeci, Giovanni Pioggia, Cristoforo Incorvaia, Sebastiano Gangemi
BACKGROUND: Early recognition of inflammatory markers and their relation to asthma, adverse drug reactions, allergic rhinitis, atopic dermatitis and other allergic diseases is an important goal in allergy. The vast majority of studies in the literature are based on classic statistical methods; however, developments in computational techniques such as soft computing-based approaches hold new promise in this field. OBJECTIVE: The aim of this manuscript is to systematically review the main soft computing-based techniques such as artificial neural networks, support vector machines, bayesian networks and fuzzy logic to investigate their performances in the field of allergic diseases...
2017: Clinical and Molecular Allergy: CMA
https://www.readbyqxmd.com/read/28393048/comment-on-profitability-analysis-of-a-femtosecond-laser-system-for-cataract-surgery-using-a-fuzzy-logic-approach
#15
Harry William Roberts, Melody Zhifang Ni, David Phillip S O'Brart
No abstract text is available yet for this article.
2017: International Journal of Ophthalmology
https://www.readbyqxmd.com/read/28372800/a-novel-interval-type-2-fractional-order-fuzzy-pid-controller-design-performance-evaluation-and-its-optimal-time-domain-tuning
#16
Anupam Kumar, Vijay Kumar
In this paper, a novel concept of an interval type-2 fractional order fuzzy PID (IT2FO-FPID) controller, which requires fractional order integrator and fractional order differentiator, is proposed. The incorporation of Takagi-Sugeno-Kang (TSK) type interval type-2 fuzzy logic controller (IT2FLC) with fractional controller of PID-type is investigated for time response measure due to both unit step response and unit load disturbance. The resulting IT2FO-FPID controller is examined on different delayed linear and nonlinear benchmark plants followed by robustness analysis...
March 31, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28368838/adaptive-fuzzy-output-constrained-fault-tolerant-control-of-nonlinear-stochastic-large-scale-systems-with-actuator-faults
#17
Yongming Li, Zhiyao Ma, Shaocheng Tong
The problem of adaptive fuzzy output-constrained tracking fault-tolerant control (FTC) is investigated for the large-scale stochastic nonlinear systems of pure-feedback form. The nonlinear systems considered in this paper possess the unstructured uncertainties, unknown interconnected terms and unknown nonaffine nonlinear faults. The fuzzy logic systems are employed to identify the unknown lumped nonlinear functions so that the problems of structured uncertainties can be solved. An adaptive fuzzy state observer is designed to solve the nonmeasurable state problem...
March 27, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28365459/estimation-of-co2-reduction-by-parallel-hard-type-power-hybridization-for-gasoline-and-diesel-vehicles
#18
Yunjung Oh, Junhong Park, Jong Tae Lee, Jigu Seo, Sungwook Park
The purpose of this study is to investigate possible improvements in ICEVs by implementing fuzzy logic-based parallel hard-type power hybrid systems. Two types of conventional ICEVs (gasoline and diesel) and two types of HEVs (gasoline-electric, diesel electric) were generated using vehicle and powertrain simulation tools and a Matlab-Simulink application programming interface. For gasoline and gasoline-electric HEV vehicles, the prediction accuracy for four types of LDV models was validated by conducting comparative analysis with the chassis dynamometer and OBD test data...
October 1, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/28363767/time-scaling-based-sliding-mode-control-for-neuromuscular-electrical-stimulation-under-uncertain-relative-degrees
#19
Tiago Roux Oliveira, Luiz Rennó Costa, João Marcos Yamasaki Catunda, Alexandre Visintainer Pino, William Barbosa, Márcio Nogueira de Souza
This paper addresses the application of the sliding mode approach to control the arm movements by artificial recruitment of muscles using Neuromuscular Electrical Stimulation (NMES). Such a technique allows the activation of motor nerves using surface electrodes. The goal of the proposed control system is to move the upper limbs of subjects through electrical stimulation to achieve a desired elbow angular displacement. Since the human neuro-motor system has individual characteristics, being time-varying, nonlinear and subject to uncertainties, the use of advanced robust control schemes may represent a better solution than classical Proportional-Integral (PI) controllers and model-based approaches, being simpler than more sophisticated strategies using fuzzy logic or neural networks usually applied in this control problem...
March 28, 2017: Medical Engineering & Physics
https://www.readbyqxmd.com/read/28342420/mapping-vulnerability-of-multiple-aquifers-using-multiple-models-and-fuzzy-logic-to-objectively-derive-model-structures
#20
Ata Allah Nadiri, Zahra Sedghi, Rahman Khatibi, Maryam Gharekhani
Driven by contamination risks, mapping Vulnerability Indices (VI) of multiple aquifers (both unconfined and confined) is investigated by integrating the basic DRASTIC framework with multiple models overarched by Artificial Neural Networks (ANN). The DRASTIC framework is a proactive tool to assess VI values using the data from the hydrosphere, lithosphere and anthroposphere. However, a research case arises for the application of multiple models on the ground of poor determination coefficients between the VI values and non-point anthropogenic contaminants...
March 22, 2017: Science of the Total Environment
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