Trajectory tracking of a nonholonomic mobile robot with parametric and nonparametric uncertainties: A proposed neural control

2008 Mediterranean Conference on Control and Automation - Conference Proceedings, MED'08

Volumn , Issue , 2008, Pages 315-320

  Martins, Nardênio A ^a   Bertol, Douglas ^a   Lombardi, Warody ^a   Pieri, Edson R ^a   Castelan, Eugênio B ^a  

^a FEDERAL UNIVERSITY OF SANTA CATARINA   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONVERGENCE OF NUMERICAL METHODS; DYNAMICS; ERROR ANALYSIS; ERRORS; FEEDFORWARD NEURAL NETWORKS; INDUSTRIAL ENGINEERING; KINEMATICS; LEARNING ALGORITHMS; LEARNING SYSTEMS; LYAPUNOV METHODS; MECHANICS; MOBILE ROBOTS; OPTICAL BISTABILITY; RADIAL BASIS FUNCTION NETWORKS; ROBOTICS; ROBOTS; TRAJECTORIES; VEGETATION;

BOUNDED UNKNOWN DISTURBANCES; CHATTERING PHENOMENON; CONTROL AND AUTOMATION; CONTROL SIGNALLING; DYNAMIC MODELLING; DYNAMIC NEURAL CONTROLLER; GAUSSIAN RADIAL BASIS FUNCTION; KINEMATIC PARAMETERS; LYAPUNOV; MOBILE ROBOT DYNAMICS; MOBILE ROBOT KINEMATICS; MODELING TECHNIQUES; NEURAL CONTROL; NEURAL CONTROLLERS; NEURAL NETWORK MODELLING; NON-HOLONOMIC MOBILE ROBOTS; NON-PARAMETRIC UNCERTAINTIES; PARAMETRIC UNCERTAINTIES; PRACTICAL IMPLEMENTATION; SLIDING MODE CONTROLLERS; SLIDING MODE THEORY; STABILITY ANALYSIS; TRACKING ERRORS; TRAINING PROCESSES; TRAJECTORY TRACKING; TRAJECTORY TRACKING CONTROL;

NEURAL NETWORKS;

EID: 52949124455     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MED.2008.4602203     Document Type: Conference Paper

References (21)

1. Y. Kanayama, Y. Kimura, F. Miyazaki, and T. Noguchi, "A Stable Tracking Control Method for an Autonomous Mobile Robot," in Proc. IEEE Int. Conf. Robotics and Automation, 1990, pp. 384-389.
2. Z.-.P. Jiang, and H. Nijmeijer, "A recursive technique for tracking control of nonholonomic systemsin chained form," IEEE Trans. Automatic Control, vol. 44, no.2, pp. 265-279, 1999.
3. W. Dong, W. L. Xu, and W. Huo, "Trajectory tracking control of dynamic non-holonomic systems with unknown dynamics," International Journal of Robust and Nonlinear Control, vol. 9, no. 13, pp. 905-922, 1999.
4. J.-M. Yang, and J.-H. Kim, "Sliding mode control for trajectory tracking of nonholonomicwheeled mobile robots," IEEE Trans. Robotics and Automation, vol. 15, no. 3, pp. 578-587, 1999.
5. R. Fierro, and F. L. Lewis, "Control of a Nonholonomic Mobile Robot using Neural Networks," IEEE Trans. Neural Networks, vol. 9, no. 4, pp. 589-600, 1998.
6. T. Hu, and S. X. Yang, "An Efficient Neural Controller for a Nonholonomic Mobile Robot," in Proc. IEEE Int. Symp. Comput. Intel. in Robotics and Automation, 2001, pp. 461-466.
7. C. Oh, M. S. Kim, J. Y. Lee, and J. J. Lee, "Control of Mobile Robots using RBF Network," in Proc. IEEE/RSJ Int. Conf. Intel. Robots and Systems, vol. 4, 2003, pp. 3528-3533.
8. T. Fukao, H. Nakagawa, and N. Adachi, "Adaptive tracking control of a nonholonomic mobile robot," IEEE Trans. Robotics and Automation, vol. 16, no. 5, pp. 7609-615, 2000.
9. T. Hu, S. X. Yang, F. Wang, and G. S. Mittal, "A neural network controller for a nonholonomic mobile robot with unknown robot parameters," in Proc. IEEE Int. Conf. Robotics and Automation, vol. 4, 2002, pp. 3540-3545.
10. W. Dong, and K.-D. Kuhnert, "obust adaptive control of nonholonomic mobile robot with parameter and nonparameter uncertainties," IEEE Trans. Robotics, vol. 21, no. 2, pp. 261-266, 2005.
11. P. Shuwen, S. Hongye, H. Xiehe, and C. Jian, "Variable Structure Control Theory and Application: A Survey," in Proc. World Congress Intel. Control and Automation, 2000, pp. 2977-2981.
12. M. O. Efe, and O. Kaynak, "Variable Structure Systems Theory based Training Strategies for Computationally Intelligent Systems," in Proc. Annual Conference IEEE Industrial Electronics Society, 2001, pp. 1563-1576.
13. O. Kaynak, K. Erbatur, and M. Ertugrul, "The Fusion of Computationally Intelligent Methodologies and. Sliding Mode Control - A Survey," IEEE Trans. Industrial Electronics, vol. 48, no. 1, pp. 4-17, 2001.
14. S. Liu, H. Zhang, S. X. Yang, and J. Yu, "Dynamic Control of a Mobile Robot using an Adaptive Neurodynamics and Sliding Mode Strategy," in World Congress Intel. Control and Automation, 2004, pp. 5007-5011.
15. S. Liu, Q. Yu, W. Lin, and S. X. Yang, "Tracking Control of Mobile Robots based on Improved RBF Neural Networks," in Proc. IEEE/RSJ Int. Conf. Intel. Robots and Systems, 2006, pp. 1879-884.
16. S. Seshagiri, and H. K. Khalil, "Output Feedback Control of Nonlinear Systems using RBF Neural Networks," IEEE Trans. Neural Networks, vol. 11, no. 1, pp. 69-79, 2000.
17. P. Coelho, and U. Nunes, "Path-following control of mobile robots in presence of uncertainties," IEEE Trans. Robotics, vol. 21, no. 2, pp. 252-261, 2005.
18. G. Campion, G. Bastin, and B. Dandrea-Novel, "Structural Properties and Classification of Kinematic and DynamicModels of Wheeled Mobile Robots, IEEE Transactions on Robotics and Automation, 12(1):47-62, 1996.
19. S. S. Ge, "Robust Adaptive NN Feedback Linearization Control of Nonlinear Systems," Int. J. Systems Science, pp. 1327-1338, 1996.
20. J. Y. Hung, W. Gao, and J. C. Hung, "Variable Structure Control: a Survey," IEEE Trans. Industrial Electronics, vol. 40, no. 1, pp. 2-22, 1993.
21. W. Gao, and J. C. Hung, "Variable Structure Control of Nonlinear Systems: A New Approach," IEEE Trans. Industrial Electronics, vol. 40, no. 1, pp. 45-55, 1993.