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Adaptive robust synchronization of chaotic systems using particle swarm optimization based controller

Jahromi Shirazi, M ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/ICEEE.2010.5608585
  3. Abstract:
  4. In this paper, a robust control design strategy is introduced to synchronize two different chaotic systems. The controller is based on particle swarm optimization (PSO). Particle swarm optimization is a well-known evolutionary optimization algorithm inspired by organism behavior of birds flocking and fish schooling. Our control approach is based on defining a suitable cost function in such a way that minimizing it guarantees the control of system. Due to the nature of PSO algorithm, the designed controller is strongly robust. It is shown that the proposed controller can overcome the parameter uncertainty without any extra information about the system. Comparison of proposed method with previous works is performed during simulations
  5. Keywords:
  6. Control approach ; Evolutionary optimization algorithm ; Parameter uncertainty ; PSO algorithms ; Robust control designs ; Robust synchronization ; Adaptive control systems ; Algorithms ; Automation ; Chaotic systems ; Control ; Controllers ; Electrical engineering ; Process control ; Robust control ; Particle swarm optimization (PSO)
  7. Source: Program and Abstract Book - 2010 7th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2010, 8 September 2010 through 10 September 2010 ; September , 2010 , Pages 54-59 ; 9781424473120 (ISBN)
  8. URL: http://ieeexplore.ieee.org/document/5608585/?reload=true