Please use this identifier to cite or link to this item:
https://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 1349-418X |
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 |
Published version: | http://www.ijicic.org/ijicic-12-04054.pdf |
Appears in Collections: | Aurora harvest 4 Electrical and Electronic Engineering publications |
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