Motorized Skateboard Stabilization Using Fuzzy Controller

[1]  Chandana Paul,et al.  Design and control of a pendulum driven hopping robot , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[2]  Masaki Oshita,et al.  A Dynamic Motion Control Technique for Human‐like Articulated Figures , 2001, Comput. Graph. Forum.

[3]  Taku Komura,et al.  Creating and retargetting motion by the musculoskeletal human body model , 2000, The Visual Computer.

[4]  Jessica K. Hodgins,et al.  Simulating leaping, tumbling, landing and balancing humans , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[5]  A Cappozzo,et al.  A telescopic inverted-pendulum model of the musculo-skeletal system and its use for the analysis of the sit-to-stand motor task. , 1999, Journal of biomechanics.

[6]  J. Yen,et al.  Fuzzy Logic: Intelligence, Control, and Information , 1998 .

[7]  Y. Pai,et al.  Center of mass velocity-position predictions for balance control. , 1997, Journal of biomechanics.

[8]  Norman I. Badler,et al.  Animating human locomotion with inverse dynamics , 1996, IEEE Computer Graphics and Applications.

[9]  T. Ross.  Fuzzy Logic with Engineering Applications , 1994 .

[10]  A. Kaufmann,et al.  Introduction to fuzzy arithmetic : theory and applications , 1986 .

[11]  L. Nashner.  Fixed patterns of rapid postural responses among leg muscles during stance , 1977, Experimental Brain Research.

[12]  Ronald R. Yager,et al.  Essentials of fuzzy modeling and control , 1994 .

[13]  F E Zajac,et al.  Human standing posture: multi-joint movement strategies based on biomechanical constraints. , 1993, Progress in brain research.