PSO-PCA Optimization Approach for Control Design

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In this paper, an approach for system identification and automatic control systems
design based on a combination of Particle Swarm Optimization (PSO) together with
Principal Components Analysis (PCA) is proposed. This methodology, referred to
as PSO-PCA optimization approach, incorporates the PCA concept on the PSO algorithm, which can be implemented off-line or even on-line. Different variants of the
PSO-PCA algorithm will be presented and compared with the classical PSO, in order
to evaluate the performance of the underlying algorithms, in simulations and in real
Original languageEnglish
Title of host publicationFocus on Swarm Intelligence Research and Applications
PublisherNova Science Publishers
Number of pages16
ISBN (Print)978-1-53612-452-1
Publication statusPublished - 2017


  • Constrained nonlinear optimization
  • Control design
  • Particle swarm optimization
  • Principal components analysis
  • System identification


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