Nonlinear system modeling via hybrid system representation of recurrent fuzzy systems

2010 ◽  
Author(s):  
Andreas Schwung ◽  
Jurgen Adamy
Keyword(s):  
Nonlinear System ◽  
Hybrid System ◽  
Fuzzy Systems ◽  
System Modeling ◽  
Nonlinear System Modeling ◽  
System Representation

Information-Applied Technology with Nonlinear System Modeling Method of Elman Network Based on Particle Swarm Optimization

2014 ◽  
Vol 952 ◽  
pp. 307-310
Author(s):  
Yan Ming Wei ◽  
Hua Ping Li ◽  
Hai Long Gao
Keyword(s):  
Particle Swarm Optimization ◽  
Nonlinear System ◽  
System Modeling ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Modeling Method ◽  
Elman Network ◽  
Swarm Optimization ◽  
Nonlinear System Modeling ◽  
Fast Training

In order to improve the modeling ability for nonlinear system, an Elman modeling method based on Particle Swarm Optimization (PSO) algorithm is proposed. It uses PSO algorithm to optimize the parameters of Elman network. The simulation result shows that the proposed hybrid method combined Elman with PSO algorithm has a good modeling performance with fast training rate for complex nonlinear system.

Monitoring based nonlinear system modeling of bridge–continuous welded rail interaction

2018 ◽  
Vol 155 ◽  
pp. 25-35 ◽  
Author(s):  
Alfred Strauss ◽  
Saeed Karimi ◽  
Martina Šomodíková ◽  
David Lehký ◽  
Drahomír Novák ◽  
...  
Keyword(s):  
Nonlinear System ◽  
System Modeling ◽  
Nonlinear System Modeling ◽  
Continuous Welded Rail
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