Adaptive Control Using an Oscillator Network with Capacitive Couplers
Takuro Moriyama and Daisuke Kurabayashi
Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo, Japan
We focus on the oscillatory aspects of neural components and their roles in neural system functionality such as adaptability. This study provides an implementation of adaptive control by using a network system consisting of oscillators and capacitive couplers. The functionality of oscillators alone is fairly limited, but capacitive couplers change interaction between oscillators, enabling logical operations, absolute function, gain variable amplifiers, and adaptive control. We provide basic functional networks of oscillators and capacitive couplers and demonstrate adaptive control implementation based on these functions.
-  S. Grillner, O. Ekebergb, A. E. Manira, A. Lansner, D. Parker, J. Tegner, and P. Wallen, “Intrinsic function of a neuronal network – a vertebrate central pattern generator,” Brain Research Reviews, Vol.26, pp. 184-197, 1998.
-  H. Kimura, Y. Fukuoka, and A. H. Cohen, “Adaptive dynamic walking of a quadruped robot on natural ground based on biological concepts,” The Int. J. of Robotics Research, Vol.26, No.5, pp. 475-490, 2007.
-  F. Ruffier, S. Viollet, S. Amic, and N. Franceschini, “Bio-inspired optical flow circuits for the visual guidance of micro air vehicles,” Proc. of the Int. Symposium on Circuits and Systems 2003, Vol.3, pp. 846-849, 2003.
-  Y. Obara, “Bombyx mori mating dance: an essential in locating the female,” Applied Entomology and Zoology, Vol.14, No.1, pp. 130-132, 1979.
-  W. Li, J. A. Farrell, and R. T. Cardé, “Tracking of fluidadvected odor plumes: Strategies inspired by insect orientation to pheromone,” Adaptive Behavior, Vol.9, pp. 143-170, 2001.
-  T. Lochmatter and A. Martinoli, “Tracking odor plumes in a laminar wind field with bio-inspired algorithms,” Proc. of ISER 2008, Vol.54, pp. 473-482, 2009.
-  T. Moriyama and D. Kurabayashi, “An oscillator network with a temporary memory function,” Proc. of ROBIO 2008, pp. 2024-2029, 2009.
-  S. Emoto, N. Ando, H. Takahashi, and R. Kanzaki, “Insectcontrolled robot – evaluation of adaptation ability –,” J. of Robotics and Mechatronics, Vol.19, No.4, pp. 436-443, 2007.
-  M. Arbib (Ed.), “The Handbook of Brain Theory and Neural Networks,” MIT Press, 2002.
-  S. Nagasawa, R. Kanzaki, and I. Shimoyama, “An evaluation method for insect sensorimotor models using an insect-size mobile robot,” Proc. of the 2001 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Vol.1, pp. 551-556, 2001.
-  A. T. Winfree, “Biological rhythms and behavior of populations of coupled oscillators,” J. of Theoretical Biology, Vol.16, No.1, pp. 15-42, 1967.
-  J. T. Ariaratnam and S. H. Strogatz, “Phase diagram for theWinfree model of coupled nonlinear oscillators,” Physical Review Letters, Vol.86, No.19, pp. 4278-4281, 2001.
-  G. Tao, “Adaptive Control Design and Analysis,” p. 153, Wiley, 2003.