Control of robotic manipulators—a neural network approach

References

• CHEN S. , BILLINGS , S. A. , and GRANT , P. M. , 1990 , Nonlinear system identification using neural networks . International Journal of Control , 51 . 1191 – 1214 .
   Web of Science ®Google Scholar
• CRAIG , J. J. , 1986 , Introduction to Robotics Mechanics and Control ( Reading , Massachusetts Addison-Wesley ) 1988. Adaptive Control of Mechanical Manipulators (Reading. Massachusetts Addison-Wesley) .
   Google Scholar
• CYBENKO , G. , 1989 . Approximations by superpositions of a sigmodial functions . Mathematical Control Signal Systems , 2 , 303 – 314 .
   Google Scholar
• GE , S. S. , 1996 . Robust adaptive neural feedback linearization control of nonlinear systems . International Journal of Systems Science . 27 , 1327 – 1338 .
   Web of Science ®Google Scholar
• GE , S. S. , and POSTLETHWAITE , 1995 . Adaptive neural network controller design for flexible joint robots using singular perturbation technique . Transactions of the Institute of Measurement and Control , 17 , 120 – 131 .
   Web of Science ®Google Scholar
• GOMI , H. , and KAWATO , M. , 1993 , Neural network control for a closed-loop system using feedback-error-learning . Neural Networks , 6 , 933 – 946 .
   Web of Science ®Google Scholar
• GUEZ , A. , ELIBERT , J. L. , and KAM , M. Neural network architecture for control , 1988 , IEEE Control System Magazine . 8 , 22 – 25 .
   Google Scholar
• GUEZ , A. , and SELINSKY , J. W. , 1990 , A neurocontroller with guaranteed performance for rigid robots . Proceedings of the IEEE International Joint Conference on Neural Networks , pp. 511 – 514 .
   Google Scholar
• HAYKIN , S. , 1994 , Neural Networks, a Comprehensive Foundation ( Maxwell Macmillan ).
   Google Scholar
• HUNT , K. J. , SBARBARO , D. , ZBIKOWSKI , R. , and GAWTHROP , P. J. , 1992 , Neural networks for control systems-a survey . Auiomaiica , 28 , 1083 – 1112 .
   Web of Science ®Google Scholar
• ISHIGURO , A. , FURUHASHI , T. , OKUMA , S. , and UCHIKAWA , Y. , 1992 , A neural network compensator for uncertainties of robotics manipulators . IEEE Transactions on Industrial Electronics . 39 , 565 – 569 .
   Google Scholar
• JACOBS , R. A. , 1988 , Increased rates of convergence Ihrough learning rate adaptation . Neural Networks . 1 , 295 – 307 .
   Web of Science ®Google Scholar
• JAGANNATHAN , S. , and LEWIS , F. L. , 1996 , Multilayer discrete-time neural net controller with guaranteed performance . IEEE Transactions on Neural Networks , 7 , 107 – 130 .
   PubMed Web of Science ®Google Scholar
• JOHNSON , M. A. , and LEAHY , M. B. , 1990 . Adaptive model-based neural network control . Proceedings of the IEEE International Conference on Robotics and Automation , pp. 1704 – 1709 .
   Google Scholar
• KAWATO , M. , UNO , Y. , ISOBE , M. , and SUZUKI , R. , 1988 , Hierarchical neural network model for voluntary movement with applications to robotics . IEEE Control System Magazine . 8 , 8 – 16 .
   Google Scholar
• KONAR , A. F. , SAMAD , T. , and FOSLIEN , W. , 1992 , Hybrid neural network/algorithmic approaches to system identification . Preprints of the IFAC Symposium on DYCORD 92 , College Park , Maryland , U.S.A .
   Google Scholar
• LEWIS , F. L. , LIU , K. , and YESILDIREK , A. , 1995 , Neural net robot controller with guaranteed tracking performance . IEEE Transactions on Neural Networks , 6 , 703 – 715 .
   PubMed Web of Science ®Google Scholar
• LEWIS , F. L. , YESILDIREK , A. , and Liu , K. , 1996 . Multilayer neural net robot controller structure and stability proofs . IEEE Transactions on Neural Networks , 7 , 1 – 12 .
   Web of Science ®Google Scholar
• MILLER , W. T. , HEWES , R. P. , GLANZ , F. H. , and KRAFT , L. G. , 1990 , Real-time dynamic control of an industrial manipulator using a neural network based learning controller . IEEE Transactions on Robotics und Automation . 6 , 1 – 9 .
   Google Scholar
• MIYAMOTO , H. , KAWATO , M. , SETOYAMA , T. , and SUZUKI , R. , 1988 , Feedback-error-learning neural networks for trajectory control of arobotic manipulator . Neural Networks . 1 , 251 – 265 .
   Web of Science ®Google Scholar
• NARENDRA , K. S. , and PARTHASARTHY , K. , 1990 , Identification and control of dynamical systems using neural networks . IEEE Transactions on Neural Networks , 1 , 4 – 27 .
   PubMedGoogle Scholar
• NGUYEN , D. H. , and WIDROW , B. , 1990 , Neural networks for self-Iearning control systems . IEEE Control System Magazine , 10 , 18 – 23 .
   Google Scholar
• PSALTIS , D. , SIDERIS , A. , and YAMAMURA , A. A. , 1987 , Neural controllers . Proceedings of the IEEE International Conference on Neural Networks . Vol. 4 . pp. 551–558 1988, A multilayered neural network controller. IEEE Control System Magazine, 8, 17-21 .
   Google Scholar
• RUMELHART , D. E. , HINTON , G. E. , and WILLIAMS , R. J. , 1986 , Learning representation by backpropagaling errors . Nature , 323 , 533 – 536 .
   Web of Science ®Google Scholar
• RUMELHART , D. E. , MCCLELLAND , J. L. , the PDP Research Group , 1986 , Parallel Distributed Processing, Explorations in the Microstructure of Cognition . Vol. 1 Foundations ( Cambridge , Massachusetts , MIT Press ).
   Google Scholar
• SANNER , R. M. , and SLOTINE , J.-J. E. , 1995 , Stable adaptive control of robot manipulators using neural networks . Neural Computation . 7 753 – 790 .
   Google Scholar
• SLOTINE , J.-J. E. , and Li , W. , 1989 , Neural networks for control and system identification . Proceedings of the 28th Conference on Decision and Control , Tampa Florida , U.S.A. , pp. 260 – 265 .
   Google Scholar
• YAMADA , T. , and YABUTA , T. , 1993 , Dynamic system identification using neural networks . IEEE Transactions on Systems, Man. and Cybernetics . 23 , 204 – 211. .
   Google Scholar