研究業績 :

• Ｊｏｕｒｎａｌ　ｐａｐｅｒｓ

  1. Handwriting Character Classification Using Freeman's Olfactory KIII Model,
     Artificial Life and Robotics, Vol. No., pp., 2012 (Accepted)
     Obayashi, M., Sinnosuke Koga, Feng, L.-B., Kuremoto, T., and Kobayashi, K.,
     
     
  2. A Real-time Reinforcement Learning Control System with H∞ Tracking Performance Compensator.
     IEEJ Transactions on EIS, Vol.132-C, No.6, pp. , 2012 (in Japanese)  (in press)
     Uchiyama, S., Obayashi, M., Kuremoto, T.,  Kobayashi, K. :
     
     
  3. A Gesture Recognition System with Retina-V1 Model and One-Pass Dynamic Programming.
     Neurocomputing, Vol. , No. , pp. , 2012 (Accepted)
     Kuremoto, T., Kinoshita, Y., Feng, L., Watanabe, S., Kobayashi, K., Obayashi M.
     
     
  4. A Learning Petri Net. IEEJ Transactions on EEE, Vol.7, No.2, pp.274-282, 2012
     Feng, L.-B., Obayashi M., Kuremoto T., Kobayashi K.
     
     
  5. A Robust Cooperated Control Method with Reinforcement Learning and Adaptive H∞ control.
     IEEJ Transactions on EIS, Vol.131, No.8, pp.1467-1474, DOI: 10.1541/ieejeiss.131.1467, 2011 (in Japanese)
     Obayashi, M., Uchiyama, S., Kuremoto, T.,  Kobayashi, K.
     
     
  6. An Improved Internal Model of Autonomous Robots by a Psychological Approach (Online PDF).
     Cognitive Computation, Vol.3, No.4, pp. 501-509, Springer, doi 10.1007/s12559-011-9102-7, (online) June, 11, 2011
     Kuremoto, T., Obayashi, M., Kobayashi, K., Feng, L.-B.
     
     
  7. The Dynamical Recollection of Interconnected Neural Networks Using Meta-Heuristics. IEEJ Transactions on EIS, Vol.131, No.8, pp.1475-1484, 2011 (in Japanese)
     Kuremoto, T., Watanabe S., Kobayashi, K., Feng, L.-B., Obayashi M.
     
     
  8. A Robust Reinforcement Learning Control Design Method for Nonlinear System with Partially Unknown Structure.
     IEEJ Transactions on EIS, Vol.130, No.11, pp.2090-2091, 2010 (in Japanese)
     K. Nakano, M. Obayashi, T.Kuremoto , K. Kobayashi 　
     
     
  9. Indirect Adaptive Self-structuring Fuzzy Neural Network Control System.
     IEEJ Transactions on EIS, Vol.130, No.10, pp.1882-1887, 2010 (in Japanese)
     Y. Makino, M. Obayashi, T. Kuremoto, K. Kobayashi
     
     
  10. Intelligent agent construction using the attentive characteristic patterns of chaotic neural networks.
      Artifical Life and Robotics,Vol.15, No.2, pp.216-220, 2010
      M . Obayashi, Liang-Bing Feng , T. Kuremoto and K. Kobayashi
      
      
  11. Parameterless-Growing-SOM and Its Application to a Voice Instruction Learning System(PDF),
      Journal of Robotics, ,Vol.2010,pp.1-9,2010
      T. Kuremoto, T. Komoto, K. Kobayashi, M. Obayashi
      
      
  12. An Improved Internal Model for Swarm Formation and Adaptive Swarm Behavior Acquisition
      Journal of Circuits, Systems, and Computers, Vol.18, No.8, pp.1517-1531, 2009
      T. Kuremoto, Y. Yamano, M. Obayashi, K. Kobayashi
      
      
  13. Adaptive Swarm Behavior Acquisition by a Neuro-Fuzzy System and Reinforcement Learning Algorithm,
      International Journal of Intelligent Computing and Cybernetic, Vol.2, No.4, pp.724-744, 2009.
      T. Kuremoto, M. Obayashi, K. Kobayashi,
      
      
  14. A Meta-parameter Learning Method in Reinforcement Learning Based on Temporal Difference Error,
      Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.129-C, No.9,pp.1730-1736, 2009 (in Japanese)
      H. Mizoue, K. Kobayashi, T. Kuremoto, M. Obayashi
      
      
  15. A Local Linear Wavelet Neural Network Based on a Bayesian Design Method,
      Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.129-C, No.7, pp.1356-1362, 2009 (in Japanese)
      K. Kobayashi, T. Kuremoto, M. Obayashi
      
      
  16. A Dynami Associative Memory System by Adopting Amygdala Model
      Artificial Life and Robotics, Vol. 13. No. 2, pp.478-482, 2009
      T. Kuremoto, T. Ohta, K. Kobayashi, M. Obayashi
      
      
  17. A Robust Reinforcement Learning Using Concept of Slide Mode Control,
      Artificial Life and Robotics, Vol. 13, No. 2,  pp.526-530, 2009
      M. Obayashi, N. Nakahara, T. Kuremoto, K. Kobayashi
      
      
  18. A Reinforcement Learning Method Based on Immune Network Adapted to Semi Markov Decision Process
      Artificial Life and Robotics, Vol. 13, No. 2, pp.538-542, 2009
      N. Kogawa, M. Obayashi, K. Kobayashi, T. Kuremoto
      
      
  19. A Transient Chaotic Associative Memory Model with Temporary Stay Function,
      IEEJ Transactions on EIS, Vol.128, No.12, pp.1852-1858, 2008 (in Japanese)
      M. Obayashi, K. Narita, K. Kobayashi, T. Kuremoto
      
      
  20. A State Predictor Based Reinforcement Learning System,
      IEEJ Transactions on EIS, Vol.128, No.8, pp.1303-1311, 2008 (in Japanese)
      K. Kobayashi, K. Nakano, T. Kuremoto, M. Obayashi
      
      
  21. A Hand Image Instruction Learning System Using Transient-SOM.
      Transactions on SICE (Society of Instrument and Control Engineering), Vol.43, No.11, pp.1004-1006, 2007 (in Japanese)
      T.Hano, T. Kuremoto , K. Kobayashi, and M. Obayashi,
      
      
  22. A Reinforcement Learning Method Based on Immune Network.
      Transactions of SICE(The Society of Instrument and Control Engineers), Vol.43, No.6, pp.525-527, 2007 (in Japanese)
      N. Kogawa,M. Obayashi , K. Kobayashi , T. Kuremoto
      
      
  23. Shapes of Non-monotonous Activation Functions in Chaotic Neural Network.
      IEEJ Transactions on EIS, Vol.126, No11, pp.1401-1405, 2006 (in Japanese)
      M. Obayashi , R. Omiya, T. Kuremoto, K. Kobayashi
      
      
  24. , Evolutionary Reinforcement Learning System with Time-varying Parameters,
      Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.124-C, No.7, pp.1478-1483, 2004 (in Japanese).
      K. Umesako, M. Obayashi, and K. Kobayashi,
      
      
  25. Self-Organized Fuzzy Reinforcement Learning System,
      Transactions on SICE (Society of Instrument and Control Engineering), Vol.39, No.7, pp.699-701, 2003 (in Japanese)
      K. Umesako, M. Obayashi, and K. Kobayashi
      
      
  26. Associative Memory and Mutual Information in a Chaotic Neural Network Introducing Function Typed Synaptic Weights,
      Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.123-C, No.9, pp.1631-1637, 2003 (in Japanese)
      M. Obayashi ,K. Yuda , R. Omiya, and K. Kobayashi
      
      
  27. Reinforcement Learning Using Adaptive Search Method,
      Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.122-C, No.3, pp.374-380, 2002 (in Japanese).
      Umesako, K., Obayashi, M., and Kobayashi, K
      
      
  28. A New Method for Faster Neural Networks Learning Introducing Functions of Synaptic Weights and Its Application to Nonlinear System Control
      Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.121-C, No.2, pp.385-391, 2001 (in Japanese)
      M.. Obayashi, K. Umesako, and K. Kobayashi
      
      
  29. Chaotic Neural Networks with Radial Basis Functions and Its Application to Memory Search Problem,
      Transactions on IEE Japan (The Institute of Electrical Engineers of Japan), Vol.120-C, No.10, pp.1441-1446, 2000 (in Japanese)
      M. Obayashi , K. Watanabe, and K. Kobayashi
      
      
  30. Learning Petri Networks and Its Application to Nonlinear System Control,
      IEEE Transactions on Systems,Man,and Cybernetics, Part B:Cybernetics,
      Vol.28,No.6,781-789 (December 1998)
      K.Hirasawa,M.Ohbayashi,S.Sakai and J.Hu
       
      
  31. Chaos Universal Learning Network Clustering Control,
      Journal of Robotics and Mechatronics,Vol.10,No4,305-310 (1998)
      K.Hirasawa,J.Misawa,J.Hu,J.Murata,M.Ohbayashi and Y.Eki
      
      
  32. Robust Control for Universal Learning Network Considering Fuzzy Criterion and Second Order Derivatives
      Trans. Society of Instrument and Control Engineers(計測自動制御学会論文集)，Vol.34,No.9,1246-1254 (1998)
      M. Ohbayashi, K. Hirasawa, K. Toshimitsu, J. Murata and J. Hu
      
      
  33. Suppressed/Activated Control for Nonlinear System Using Universal Learning Network
      J. Society of Instrument and Control Engineers(計測と制御)，Vol.37,No.8,586-600 (1998)
      M. Ohbayashi, K. Hirasawa and M. Hashimoto
      
      
  34. Computing Higher Order Derivatives in Universal Learning Networks,
      Journal of Advanced Computatinal Intelligence,Vol.2,No2,47-53 (1998)
      K. Hirasawa, J. Hu, M. Ohbayashi,J. Murata
      
      
  35. A New Adaptive Random Search Method in Neural Networks - RasID -
      Trans. Society of Instrument and Control Engineers(計測自動制御学会論文集)，Vol.34,No.8,1088-1096 (1998)
      K. Hirasawa, K. Togo, J. Hu, M. Ohbayashi, N. Shao and J. Murata
      
      
  36. Nonlinear Control System Using Learning Petri Network
      Trans. Institute of Electrical Engineers of Japan(電気学会論文誌)，Vol.118-C,No.6,873-881 (1998)
      M. Ohbayashi, K. Hirasawa, S. Sakai and J. Hu,
      
      
  37. Probability and Possibility Automaton Learning Network
      Trans. Institute of Electrical Engineers of Japan(電気学会論文誌)，Vol.118-D,No.3,291-299 (1998)
      K.Hirasawa, M.Harada, M.Ohbayashi, J.Murata and J.Hu
      
      
  38. Robust Control of a Nonlinear Dynamical System for Changes of External Inputs Using Second Order Derivative of Universal Learning Network
      Trans. Institute of Electrical Engineers of Japan(電気学会論文誌)，Vol.118-D,No.3,300-307 (1998)
      M.Ohbayashi and K.Hirasawa
      
      
  39. Probabilistic Universal Learning Network Theory
      Trans. Institute of Electrical Engineers of Japan(電気学会論文誌)，Vol.118-C, No.2, 224-231 (1998)
      K. Hirasawa, M. Ohbayashi, J. Murata and J. Hu,
      
      
  40. Evaluation between Likelihood Search Method and Back Propagation Method in Neural Networks Learning
      Trans. Society of Instrument and Control Engineers(計測自動制御学会論文集)，Vol.34, No.1, 41-47 (1998)
      M. Koga, K. Hirasawa and M. Ohbayashi
      
      
  41. Universal Learning Network-Based Fuzzy System andIts Application to Non-Linear Control System,
      Trans. Society of Instrument, Control Engineers(計測自動制御学会論文集), 33, 9, 930-938，Vol.33, No9 (1997)
      M. Ohbayashi, K. Hirasawa, R. Wu and N. Shao
      
      
  42. Modeling Nonlinear Dynamic Systems Using Universal Learning Network with Filtering Mechanism,
      Trans. Institute of Electrical Engineers of Japan(電気学会論文誌)，Vol.117-C, No.9, 1259-1266 (1997)
      M.Han, K.Hirasawa, M.Ohbayashi and H.Fujita
      
      
  43. Automaton Learning Network Theory,
      Trans. Institute of Electrical Engineers of Japan(電気学会論文誌)，Vol.117-C,No.8,1069-1075 (1997)
      M.Ikeuchi, K.Hirasawa and M.Ohbayashi
      
      
  44. Robust Control for System Parameter PerturbationUsing Second Order Derivatives of Universal Learning Network,
      Trans. Society of Instrument, Control Engineers(計測自動制御学会論文集)，Vol.33, No4, 289-295 (1997)
      M. Ohbayashi, K. Hirasawa, M. Hashimoto and J. Murata
      
      
  45. Nonlinear Dynamical System Robust Control for Changes of System Initial Values Using Second Order Derivative of Universal Learning Network
      Trans. of Institute of Electrical Engineers of Japan(電気学会論文誌)，Vol.117-D, No.3, 289-297 (1997) 
      M. Ohbayashi and K. Hirasawa,
      
      
  46. Holonic Control System on Universal Learning Network
      Trans. of Institute of Electrical Engineers of Japan(電気学会論文誌)，Vol.117-D, No.3, 281-288 (1997)
      N. Kusumi, K. Hirasawa and M. Ohbayashi
      
      
  47. Multi-Objective Nonlinear Control System by Fuzzy Weighting Factor Method based on Universal Learning Network
      Trans. of Institute of Electrical Engineers of Japan(電気学会論文誌)，Vol.117-D, No.3, 298-305 (1997)
      K. Hirasawa, M. Ohbayashi and Y. Yamamoto
      
      
  48. Chaos Control on Multi-Branch Universal Learning Network
      Trans. of Institute of Electrical Engineers of Japan(電気学会論文誌)，Vol.117-C, No.3, 262-271 (1997)
      M. Koga, K. Hirasawa and M. Ohbayashi
      
      
  49. Stability Theory of Universal Learning Network,
      Trans. of Institute of Electrical Engineers of Japan(電気学会論文誌)，Vol.116-C, No.8, 973-981 (1996)
      K. Hirasawa, M. Ohbayashi and M. Koga
      
      
  50. 微分情報を用いたランダム探索最適化手法-Likelihood Search Method (L.S.M.)
      Trans. of Society of Instrument and Control Engineers(計測自動制御学会論文集)，Vol.32, No8, 1277-1286 (1996)
      M. Koga, K. Hirasawa, M. Ohbayashi and J. Murata
      
      
  51. Universal Learning Network Theory
      Trans. of Institute of Electrical Engineers of Japan(電気学会論文誌)，Vol.116-C, No.7, 794-801 (1996)
      K. Hirasawa, M. Ohbayashi, H. Fujita and M. Koga
      
      
  52. Chaos Control on Universal Learning Network,
      Trans. of Society of Instrument and Control Engineers(計測自動制御学会論文集)，Vol.32, No6, 844-853 (1996)
      M. Koga, K. Hirasawa, M. Ohbayashi and J. Murata
      
      
  53. Forward Propagation Universal Learning Network Theory
      Trans. of Institute of Electrical Engineers of Japan(電気学会論文誌)，Vol.116-C, No.6, 692-698 (1996)
      K. Hirasawa, M. Ohbayashi and M. Koga
      
      
  54. Learning Network Based on Petri Net with Functional Distributed Capability- Learning Petri Network - ，
      Trans. of the Society of Instrument and Control Engineers(計測自動制御学会論文集)，Vol.32, No2, 241-250 (1996)
      K. Hirasawa, M. Obayashi, S. Sakai and J. Murata
      
      
  55. Higher Order Derivatives Calculation Method of Universal Learning Network,
      Trans. of the Institute of Electrical Engineers of Japan(電気学会論文誌)，Vol.115-C, No.12, 1499-1506 (1996)
      K. Hirasawa, M. Obayashi, M. Koga, J. Murata and N. Kusumi
      
      
  56. Robust Control with Pole Assignment in a Specified Region for Systems under Parameter Perturbations and its Application to a Nonlinear System
      Trans. of the Institute of Electrical Engineers of Japan(電気学会論文誌)，Vol.115-C, No.8, 984-991 (1995)
      M. Obayashi, K. Hirasawa, J. Murata, A. Kajiwara and S. Sagara
      
      
  57. A New Modelling Method of Functional Distribution of Brain by Modified Petri Net
      Trans. of the Institute of Electrical Engineers of Japan(電気学会論文誌)，Vol.115-C,No.5,719-727 (1995)
      K. Hirasawa, M. Ohbayashi, J. Murata, C.-Z. Jin, S. Oka, S. Sakai and Y. Shitamura
      
      
  58. On a Determination of the Optimal Constant Feedback Gains,
      Trans. of the Institute of Electrical Engineers of Japan(電気学会論文誌)，Vol.114-C, No.6, 705-712 (1994)
      M. Obayashi, S. Sagara, K. Hirasawa and J. Murata
      
      
      

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