Puren R. Ouyang


  1. [1] S. Arimoto, S. Kawamura, & F. Miyazaki, Bettering operationof robots by learning, Journal of Robot Systems, 1, 1984,123–140.
  2. [2] K.L. Moore, M. Dahleh, & S.P. Bhattacharyya, Iterativelearning control: a survey and new results, Journal of Robotic Systems, 9(5), 1992, 563–594.
  3. [3] D.A. Bristow, M. Tharayil, & A.G. Alleyne, A survey ofiterative learning control: a learning-based method for high-performance tracking control, IEEE Control Systems Magazine,26(3), 2006, 96–114.
  4. [4] H.S. Ahn, Y.Q. Chen, & K.L. Moore, Iterative learning control:brief survey and categorization, IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 37(6),2007, 1099–1121.
  5. [5] K.K. Park, An average operator-based PD-type iterative learn-ing control for variable initial state error, IEEE Transactionson Automatic Control, 50(6), 2005, 865–869.
  6. [6] D.H. Owens & G.S. Munde, Universal adaptive iterative learn-ing control, Proc. of 37th IEEE Conf. on Decision and Control,1998, 181–185.
  7. [7] N. Amann, D.H. Owens, & E. Rogers, Iterative learning control for discrete time systems using optimal feedback and feed forward actions, Proc. of 34th Conf. on Decision andControl, 1995, 1696–1701.
  8. [8] Z.H. Qu, J. Dorsey, M. Dawson, & R.W. Johnson, A new learning control scheme for robots, Proc. of 1991 IEEE ICRA,1991, 1463–1468.
  9. [9] J.X. Xu, X.W. Wang, & L.T. Heng, Analysis of continuous iterative learning control systems using current cycle feedback, Proc. of American Control Conference, 1995, 4221–4225.106
  10. [10] Y.Q. Chen, J.X. Xu, & T.H. Lee, Current iteration trackingerror assisted iterative learning control of uncertain nonlineardiscrete system, Proc. of 35th IEEE Conf. Decision and Control,1996, 3038–3043.
  11. [11] Y.Q. Chen, J.X. Xu, & T.H. Lee, An iterative learning controllerusing current iteration tracking error information and initialstate learning, Proc. of 35th IEEE Conf. Decision and Control,1996, 3064–3069.
  12. [12] P.R. Ouyang, W.J. Zhang, & M.M. Gupta, PD-type learningcontrol for systems with state uncertainty and measurementdisturbance, Control and Intelligent Systems, 35(4), 2007,351–359.
  13. [13] D.Y. Pi, D. Seborg, J. Shou, Y. Sun, & Q. Lin, Analysisof current cycle error assisted iterative learning control fordiscrete nonlinear time-varying systems, IEEE InternationalConference on Systems, Man, and Cybernetics, 5, 2000, 3508–3513.
  14. [14] X. Li, G. Ouyang, X.P. Guan, & R. Du, Ram position control inplastic injection molding machines with higher-order iterativelearning, Control and Intelligent Systems, 34(1), 2006, 64–72.
  15. [15] S.J. Yu, J.H. Wu, & X.W. Yan, A PD-type open-closed-loop iterative learning control and its convergence for discretesystems, Proc. of First Int. Conf. on Machine Learning andCybernetics, 2002, 659–662.
  16. [16] S.S. Saab, A discrete-time stochastic iterative learning con-trol algorithm for a class of nonlinear systems, Control andIntelligent Systems, 33(2), 2005, 95–101.
  17. [17] J.X. Xu, L. Sun, T. Chai, & D. Tan, High-order open andclosed loop iterative learning control scheme with initial statelearning, 8th Int. Conf. on Control, Automation, Robotics andVision, 2004, 637–641.
  18. [18] M.K. Kang, J.S. Lee, & K.L. Han, Kinematic path-trackingof mobile robot using iterative learning control, Journal ofRobotic Systems, 22(2), 2005, 111–121.
  19. [19] J.Y. Choi & J.S. Lee, Adaptive iterative learning control ofuncertain robotic system, IEE Proceedings Control TheoryApplication, 147(2), 2000, 217–223.
  20. [20] K.K. Tan, S.N. Huang, & S. Zhao, A novel predictive anditerative learning control algorithm, Control and IntelligentSystems, 31(1), 2003, 1–9.
  21. [21] P.R. Ouyang, Hybrid mechatronic systems: integrated design,modeling and control (LAP LAMBERT Academic Publishing,2010).

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