Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/83210
Type: Journal article
Title: Membrane optimization algorithm based on mutated PSO and its application in nonlinear control systems
Author: Wang, J.
Wang, T.
Shi, P.
Tu, M.
Yang, F.
Citation: International Journal of Innovative Computing, Information and Control, 2013; 9(7):2963-2977
Publisher: ICIC International
Issue Date: 2013
ISSN: 1349-4198
Statement of
Responsibility: 
Jun Wang, Tao Wang, Peng Shi, Min Tu and Fan Yang
Abstract: The PID neural network model was proposed for complex control systems in order to achieve desirable control performance. However, the conventional backward-propagation (BP) algorithm restrains the model's wide applications in control field due to the known reasons. In this paper, a novel variant of particle swarm optimization (PSO), named membrane optimization algorithm based on mutated particle swarm optimaztion (MO-MPSO) is proposed. The MO-MPSO algorithm is an appropriate combination of parison experiments on benchmark functions and the case study show the effectiveness and advantages of the presented algorithm.
Keywords: Membrane computing; PSO; PIDNN; Mutation
Rights: ICIC International © 2013
RMID: 0020134814
Published version: http://www.ijicic.org/ijicic-12-04054.pdf
Appears in Collections:Electrical and Electronic Engineering publications

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