Earticle

초록

영어

This paper studies the synchronization of SA and AV Node Oscillators using PSO optimized RBF-based controllers systems. High levels of control activities may excite unmodeled dynamics of a system. This matter changes the rules of controlling the system and achieving an acceptable control performance. In fact, the objective here is to reach a trade-off between tracking performance and parametric uncertainty. Two methods are proposed to synchronize the general forms of Van Der Pol (VDP) Model and their performance. These methods use the radial basis function (RBF)- based neural controllers for this purpose. The first method uses a standard RBF neural controller. Particle swarm optimization (PSO) algorithm is used to derive and optimize the parameters of the RBF controller. In the second method, with the aim of increasing the robustness of the RBF controller, an error integral term is added to the equations of RBF neural network. For this method, the coefficients of the error integral component and the parameters of RBF neural network are also derived and optimized via PSO algorithm. For better comparison, simulation results show the effectiveness and superiority of the proposed methods in both performances in comparison with SMC controller.

목차

Abstract
 1. Introduction
 2. An Overview of Cardiovascular Physiology
  2.1. Electromechanical Conduction Mechanism of the Heart
 3. Introduction to Synchronization
  3.1. Van Der Pol (VDP) Model
 4. Generating Action Potential by the Model
 5. Designing Sliding Mode Controller
 6. Problem Definition
 7. Synchronization Using SMC
  7.1 Stability
  7.2 Simulation Results
 8. PSO Algorithm
 9. Proposed Synchronization Schemes
 10. Control by RBF Model
 11. “RBF + Error Integral” Model
 12. Simulation and Experimental Results
 13. Two-way Coupling
 14. Conclusions
 References

키워드

저자

• Abdolhossein Ayoubi [ MSc of Medical Information Technology, Biomedical Engineering Department , Amirkabir University of Technology, Tehran, Iran ]
• Moharram Kazemi [ 1,2,4MSc of Medical Information Technology, Biomedical Engineering Department , Amirkabir University of Technology, Tehran, Iran ]
• Mohammad Sadegh Sanie [ MD in Anesthesia and critical care Department, Assistant Professor at Jahrom University of Medical Science, Iran ]
• Saman Sobh Heydari [ MSc of Medical Information Technology, Biomedical Engineering Department , Amirkabir University of Technology, Tehran, Iran ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605