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- W2373478574 abstract "The traditiaonal experience method is difficult to design measure-parameter and scal-parameter of fuzzy controller in networked control systems(NCS),this paper advanced a new method to select these parameters depended on improved quantum particle swam optimization(IQPSO) algorithm.To improve the performance of quantum particle swam optimization(QPSO) algorithm,this paper proposed an adaptive mutation QPSO algotithm based on search operator of artificial bee colony(ABC)algorithm.The method used the ITAE indx as the fitness function of the IQPSO algorithm to optimize the fuzzy controller parameters.Simulation results of the typical indusrical process show that the optimal fuzzy controller using IQPSO has better control performance and adaptability than the optimal fuzzy controller using QPSO and the optimal PID controller using IQPSO." @default.
- W2373478574 created "2016-06-24" @default.
- W2373478574 creator A5046380794 @default.
- W2373478574 date "2013-01-01" @default.
- W2373478574 modified "2023-09-23" @default.
- W2373478574 title "Tuning of optimal fuzzy NCS controller parameters based on improved quantum particle swarm" @default.
- W2373478574 hasPublicationYear "2013" @default.
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