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This paper studies two methodologies for control structure design.
The increasing popularity of model-driven approaches and a new generation of tools to support metamodel techniques are changing software engineering landscape, boosting the adoption of new methodologies for control application development.
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Fuzzy systems are regarded as appropriate methodologies for controlling complex systems and for carrying out complicated decision processes.
A systematic analysis is necessary to soundly understand the gap and requires first looking at it unconditionally, as methodologies for controlling demographic variables in published studies vary greatly and make results difficult to compile in a comprehensive manner.
Methodologies for controlling the composition and properties of layers of GaN itself, and of ternary alloy layers with moderate (<25 mole%) contents of InN or AlN, are well established.
A methodology for control structure design is proposed to handle the dynamic system.
Many recent multiple testing papers have provided more efficient and/or robust methodology for control of a particular error rate.
In order to ensure best product quality and highest capacity a methodology for control structure design for complete processing plants (plantwide control) was applied.
This paper presents a variable selective control methodology for control of networked systems subject to transfer delay, packet-loss and packet-disordering.
Integrated simulation can provide interactive tools for addressing nanorobot choices on sensing, hardware design specification, manufacturing analysis, and methodology for control investigation.
This leads to a design methodology for control of chaos in this converter based on LEs assignment in desired values by proper selection of compensator slope.
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