Particle swarm optimization based distributed agreement in multi-agent dynamic systems

2014 ◽  
Author(s):  
Veysel Gazi ◽  
Raul Ordonez
Keyword(s):  
Particle Swarm Optimization ◽  
Dynamic Systems ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Multi Agent ◽  
Distributed Agreement

System Identification With Particle Swarm Optimization Method for Nonlinear Dynamic Systems

2020 ◽  
Author(s):  
Manuel A. Fernández ◽  
Jen-Yuan (James) Chang
Keyword(s):  
Particle Swarm Optimization ◽  
System Identification ◽  
Dynamic Systems ◽  
Particle Swarm ◽  
Sequential Estimation ◽  
Optimization Method ◽  
Total Least Squares ◽  
Swarm Optimization ◽  
Identification Techniques ◽  
Motor Model

Abstract This paper presents a comparison between different system identification techniques, namely Least Squared Estimation, Total Least Squares, Linear Sequential Estimation, the Gauss-Newton method, and Particle Swarm Optimization. A DC motor model was simulated in Simulink, with arbitrarily selected parameters, and the input and output values were used to test the effectiveness of these system identification techniques.

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