On the use of accelerometers in iterative learning control of a flexible robot arm

References

• Analog Devices . 2004 . http://www.analog.com
   Google Scholar
• Bondi , P , Casalino , G and Gambardella , L . 1988 . On the iterative learning control-theory for robotic manipulators . IEEE J. Robo. and Auto. , 4 : 14 – 22 .
   Google Scholar
• Frueh , . and Phan , MQ . 1998 . “Linear quadratic optimal learning control (LQL)” . In Proc. of the 37th IEEE Conference on Decision and Control , 678 – 683 . Florida : Tampa .
   Google Scholar
• Gorinevsky , DM , Torfs , D and Goldenberg , AA . 1995 . “Learning approximation of feedforward dependence on the task parameters: experiments in direct-drive manipulator tracking” . In Proc. ACC 1995 , 883 – 887 . Washington : Seattle .
   Google Scholar
• Gunnarsson , S and Norrlöf , M . 2000 . “Iterative learning control of a flexible mechanical system using accelerometers” . In IFAC 6th symposium on Robot Control , 327 – 332 . Austria : Vienna . SYROCO
   Google Scholar
• Gunnarsson , S and Norrlöf , M . 2001 . On the design of ILC algorithms using optimization . Automatica , 37 : 2011 – 2016 .
   Web of Science ®Google Scholar
• Horowitz , R . 1993 . Learning control of robot manipulators . ASME J. Dyn. Sys., Measure., and Cont. , 115 : 403 – 411 .
   Google Scholar
• Karlsson , R and Norrlöf , M . 2004 . “Bayesian position estimation of an industrial robot using multiple sensors” . In IEEE Conference on Control Applications , 303 – 308 . Taiwan : Taipei .
   Google Scholar
• Lange , F and Hirzinger , G . 1999 . “ Learning accurate path control of industrial robots and joint elasticity” . In Proc. IEEE Conference on Robo. and Auto,. , 2084 – 2089 . MI : Detroit .
   Google Scholar
• Lee , KS and Lee , JH . 1998 . “Design of quadratic criterion based iterative learning control” . In Iterative Learning Control: Analysis, Design, Integration and Applications , Edited by: Bien , Z and Xu , JX . 165 – 192 . Norwell, Massachusetts, USA : Kluwer Academic Publishers .
   Google Scholar
• Ljung , L . 1999 . System Identification: Theory for the User , 2nd edition , Upper Saddle River, , NJ, USA : Prentice-Hall .
   Google Scholar
• Ljung , L . 2000 . System Identification Toolbox–User's Guide , Sherborn, , MA, USA : The Mathworks Inc .
   Google Scholar
• De Luca , A and Panzieri , S . 1996 . End-effector regulation of robots with elastic elements by an iterative scheme . Inter. J. Adaptive Cont. and Signal Proc. , 10 : 379 – 393 .
   Google Scholar
• Lucibello , P . 1996 . On trajectory tracking by learning of flexible joint arms . Inter. J. Robo. and Autom. , 11 : 190 – 194 .
   Google Scholar
• Miyazaki , F , Kawamura , S , Matsumori , M and Arimoto , S . 1986 . “Learning control scheme for a class of robots with elasticity” . In Proc. of the 25th IEEE Conference on Decision and Control , 74 – 79 . Greece : Athens .
   Google Scholar
• Norrlöf , M . 2003 . An adaptive iterative learning control algorithm with experiments on an industrial robot . IEEE Transactions on Robo. and Autom. , 18 : 634 – 641 .
   Google Scholar
• Norrlöf , M and Gunnarsson , S . 2002a . Time and frequency domain convergence properties in iterative learning control . Inter. J. Cont. , 75 : 1114 – 1126 .
   Web of Science ®Google Scholar
• Norrlöf , M and Gunnarsson , S . 2002b . Experimental comparison of some classical iterative learning control algorithms . IEEE Trans. Robo. and Autom. , 18 : 636 – 641 .
   Google Scholar
• Norrlöf , M and Karlsson , R . 2005 . “Position estimation and modelling of a flexible industrial robot” . In IFAC World Congress , Prague : Czech Republic .
   Google Scholar
• Quanser . 2004 . http://www.quanser.com
   Google Scholar
• Velthuis , WJR , de Vries , TJA and van Amerongen , J . 1996 . “Learning feed-forward control of a flexible beam” . In Proc. 1996 IEEE Symposium on Intelligent Control , 103 – 108 . MI : Dearborn .
   Google Scholar