Abstract
This paper presents an iterative learning control using an information database (ILCID) for linear as well as nonlinear continuous time systems. It is proposed that a proper and efficient selection of the initial control input using the experience of previously tracked trajectories can improve the convergence rate of an iterative learning controller without modifying its control structure. The information database consists of previously tracked trajectories and their corresponding control inputs. For a new trajectory, the database can be searched for a trajectory similar to the new one by using a similarity index defined in this paper. Initial control input for the new trajectory then can be set by using the control input of the similar trajectory found from the database. It is shown by the simulations that the convergence rate of the iterative learning controller can be improved by using this technique.
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References
Bondi, P., Casalina, G., and Gambardella, L.: On the iterative learning control theory for robotic manipulators, IEEE J. Robotics Automat. 4 (1988), 14–21.
Arimoto, S., Kawamura, S., and Miyazaki, F.: Bettering operation of robots by learning, J. Robotic Systems 1(2) (1984), 123–140.
Arimoto, S., Kawamura, S., and Miyazaki, F.: Bettering operation of dynamic systems by learning: a new control theory for servomechanism or mechatronic systems, in: Proc. of the 23rd IEEE Conf. on Decision and Control, USA, 1984, pp. 1064–1069.
Kawamura, S., Miyazaki, F., and Arimoto, S.: A learning control method for dynamical systems, Trans. SICE 22(1) (1986), 56–62 (in Japanese).
Chien, C.: A discrete iterative learning control of nonlinear time-varying systems, in: Proc. of the 35th Conf. on Decision and Control, Japan, 1996, pp. 3056–3061.
Oh, S. R., Bien, Z., and Suh, I. H.: An iterative learning control method with application for the robot manipulator, IEEE J. Robotics Automat. (1988), 508–514.
Bien, Z., Hwang, D. H., and Oh, S. R.: A nonlinear iterative learning method for robot path control, Robotica 9 (1991), 387–392.
Saab, S. S.: On the P type learning control, IEEE Trans. Automat. Control 39(11) (1994), 2298–2302.
Geng, Z., Carroll, R., and Xie, J.: Two-dimensional model and algorithm analysis for a class of iterative learning control systems, Internat. J. Control 52(4) (1990), 833–862.
Stefani, R. T., Savant, C. J., Shahian, B., and Hostetter, G. H.: Design of Feedback Control Systems, Saunders College Publishing, 1994.
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Arif, M., Ishihara, T. & Inooka, H. Iterative Learning Control Using Information Database (ILCID). Journal of Intelligent and Robotic Systems 25, 27–41 (1999). https://doi.org/10.1023/A:1008004818981
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DOI: https://doi.org/10.1023/A:1008004818981