Loading...

Controlling chaos in tapping mode atomic force microscopes using improved minimum entropy control

Sadeghpour, M ; Sharif University of Technology

1258 Viewed
  1. Type of Document: Article
  2. DOI: 10.1016/j.apm.2012.03.039
  3. Abstract:
  4. Minimum entropy control technique, an approach for controlling chaos without using the dynamical model of the system, can be improved by being combined with a nature-based optimization technique. In this paper, an ACO-based optimization algorithm is employed to minimize the entropy function of the chaotic system. The feedback gain of a delayed feedback controller is adjusted in the ACO algorithm. The effectiveness of the idea is investigated on suppressing chaos in the tapping-mode atomic force microscope equations. Results show a good performance. The PSO-based version of the minimum entropy control technique is also used to control the chaotic behavior of the AFM, and corresponding results are compared showing almost a same functionality for the two optimization algorithms of PSO and ACO as the minimizing engines of the minimum entropy strategy
  5. Keywords:
  6. ACO algorithms ; AFM ; Ant Colony Optimization (ACO) ; Chaos control ; Chaotic behaviors ; Controlling chaos ; Delayed feedback ; Dynamical model ; Entropy function ; Feedback gain ; Minimum entropy ; Minimum entropy control ; Optimization algorithms ; Optimization techniques ; Suppressing chaos ; Tapping modes ; Artificial intelligence ; Atomic force microscopy ; Behavioral research ; Chaotic systems ; Constrained optimization ; Entropy ; Particle swarm optimization (PSO) ; Algorithms
  7. Source: Applied Mathematical Modelling ; Vol. 37, Issue 3 , 2013 , pp. 1599-1606 ; ISSN: 0307904X
  8. URL: http://www.sciencedirect.com/science/article/pii/S0307904X12002028