2017 International Conference on Mechanical, System and Control Engineering (ICMSC) 2017
DOI: 10.1109/icmsc.2017.7959504
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Accurate model reduction of large scale systems using adaptive multi-objective particle swarm optimization algorithm

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Cited by 5 publications
(4 citation statements)
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“…Many well‐known optimizing method has been introduced . Consider the controllers u i as Equation and Risk i as Equation for i = 1,2,3.…”
Section: Reliability and Risk Analysis Of Proposed Controllermentioning
confidence: 99%
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“…Many well‐known optimizing method has been introduced . Consider the controllers u i as Equation and Risk i as Equation for i = 1,2,3.…”
Section: Reliability and Risk Analysis Of Proposed Controllermentioning
confidence: 99%
“…Now, object is to minimize the mean of risk of each controllers in 10 seconds. Then, cost function is defined as f=meanfalse(Risk1false)2+meanfalse(Risk2false)2+meanfalse(Risk3false)2. For minimizing the risk, we use particle swarm optimization (PSO) algorithm to determine the controller coefficients k 1 , k 2 , and k 3 subject to stability conditions for Equation .…”
Section: Reliability and Risk Analysis Of Proposed Controllermentioning
confidence: 99%
See 2 more Smart Citations