0000000000542540

AUTHOR

Satyam Paul

0000-0003-4720-0897

showing 3 related works from this author

Modeling and control of uncertain nonlinear systems

2018

A survey of the methodologies associated with the modeling and control of uncertain nonlinear systems has been given due importance in this paper. The basic criteria that highlights the work is relied on the various patterns of techniques incorporated for the solutions of fuzzy equations that corresponds to fuzzy controllability subject. The solutions which are generated by these equations are considered to be the controllers. Currently, numerical techniques have come out as superior techniques in order to solve these types of problems. The implementation of neural networks technique is contributed in the complex way of dealing the appropriate coefficients and solutions of the fuzzy systems.

0209 industrial biotechnologyMathematical optimizationArtificial neural networkComputer scienceComputingUncertain systemsComputational mathematics02 engineering and technologyFuzzy control systemFuzzy logicControllabilitymodellingNonlinear system020901 industrial engineering & automationuncertain systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingfuzzy equationsnonlinear systemsControl (linguistics)control/dk/atira/pure/subjectarea/asjc/1700/dk/atira/pure/core/subjects/computingComputer Science(all)
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Fuzzy Modeling for Uncertain Nonlinear Systems Using Fuzzy Equations and Z-Numbers

2018

In this paper, the uncertainty property is represented by Z-number as the coefficients and variables of the fuzzy equation. This modification for the fuzzy equation is suitable for nonlinear system modeling with uncertain parameters. Here, we use fuzzy equations as the models for the uncertain nonlinear systems. The modeling of the uncertain nonlinear systems is to find the coefficients of the fuzzy equation. However, it is very difficult to obtain Z-number coefficients of the fuzzy equations.

0209 industrial biotechnologyProperty (philosophy)Mathematics::General MathematicsMathematicsofComputing_NUMERICALANALYSISComputational mathematics02 engineering and technologyFuzzy logicNonlinear system020901 industrial engineering & automationComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONZ number0202 electrical engineering electronic engineering information engineeringApplied mathematics020201 artificial intelligence & image processingComputingMethodologies_GENERALMathematics
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Recent advances in intelligent-based structural health monitoring of civil structures

2018

This survey paper deals with the structural health monitoring systems on the basis of methodologies involving intelligent techniques. The intelligent techniques are the most popular tools for damage identification in terms of high accuracy, reliable nature and the involvement of low cost. In this critical survey, a thorough analysis of various intelligent techniques is carried out considering the cases involved in civil structures. The importance and utilization of various intelligent tools to be mention as the concept of fuzzy logic, the technique of genetic algorithm, the methodology of neural network techniques, as well as the approaches of hybrid methods for the monitoring of the struct…

Physics and Astronomy (miscellaneous)Computer science020101 civil engineering02 engineering and technologyMachine learningcomputer.software_genreFuzzy logiclcsh:Technology0201 civil engineering0203 mechanical engineeringManagement of Technology and InnovationGenetic algorithmlcsh:ScienceEngineering (miscellaneous)Basis (linear algebra)Artificial neural networkbusiness.industrylcsh:TIdentification (information)020303 mechanical engineering & transportsCritical surveylcsh:QArtificial intelligenceStructural health monitoringbusinesscomputer
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