Adaptive sliding mode control of dynamic system using RBF neural network

Nonlinear Dynamics

Volumn 70, Issue 2, 2012, Pages 1563-1573

  Fei, Juntao ^a   Ding, Hongfei ^a  

^a HOHAI UNIVERSITY   (China)

Author keywords

Adaptive neural network; Radial basis function; Sliding mode control

Indexed keywords

ADAPTIVE NEURAL NETWORKS; ADAPTIVE SLIDING MODE CONTROL; ADAPTIVE SLIDING MODE CONTROLLER; ASYMPTOTICAL STABILITY; BOUNDEDNESS; EXTERNAL DISTURBANCES; MODEL UNCERTAINTIES; NETWORK WEIGHTS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTIONS; RBF NEURAL NETWORK; ROBUST ADAPTIVE SLIDING MODE CONTROL; SLIDING MODES; SYSTEM DYNAMICS; UPPER BOUND;

RADIAL BASIS FUNCTION NETWORKS; SLIDING MODE CONTROL; TIME VARYING SYSTEMS; UNCERTAINTY ANALYSIS;

NEURAL NETWORKS;

EID: 84870986267     PISSN: 0924090X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11071-012-0556-2     Document Type: Article

References (18)

1. Guo, Y.,Woo, P.: An adaptive fuzzy sliding mode controller for robotic manipulators. IEEE Trans. Syst. Man Cybern., Part A, Syst. Hum. 33(2), 149-159 (2004)
2. Wai, R.J.: Fuzzy sliding-mode control using adaptive tuning technique. IEEE Trans. Ind. Electron. 54(1), 586-594 (2007)
3. Lewis, F.L., Jagannathan, S., Yesildirek, A.: Neural Network Control of Robot Manipulators. Taylor & Francis, London (1999)
4. Sadati, N., Ghadami, R.: Adaptive multi-model sliding mode control of robotic manipulators using soft computing. Neurocomputing 71(2), 2702-2710 (2008)
5. Park, B., Yoo, S., Park, J., Choi, Y.: Adaptive neural sliding mode control of nonholonomic wheeled mobile robots with model uncertainty. IEEE Trans. Control Syst. Technol. 17(1), 207-214 (2009)
6. Xu, D., Zhao, D., Yi, J., Tan, X.: Trajectory tracking control of omnidirectional wheeled mobile manipulators: robust neural network-based sliding mode approach. IEEE Trans. Syst. Man Cybern., Part B, Cybern. 39(3), 788-799 (2009)
7. Lee, M., Choi, Y.: An adaptive neurocontroller using RBFN for robot manipulators. IEEE Trans. Ind. Electron. 51(3), 711-717 (2004)
8. Lin, F., Chen, S., Shyu, K.: Robust dynamic sliding-mode control using adaptive RENN for magnetic levitation system. IEEE Trans. Neural Netw. 20(6), 938-951 (2009)
9. Chien, Y.,Wang,W., Leu, Y., Lee, T.: Robust adaptive controller design for a class of uncertain nonlinear systems using online T-S fuzzy-neural modeling approach. IEEE Trans. Syst. Man Cybern., Part B, Cybern. 41(2), 542-552 (2011)
10. Dierks, T., Jagannathan, S.: Neural network output feedback control of robot formations. IEEE Trans. Syst. Man Cybern., Part B, Cybern. 40(2), 383-399 (2010)
11. Man, Z., Yu, X., Eshraghian, K., Palaniswami, M.: A robust adaptive sliding mode tracking control using an RBF neural network for robotic manipulators. In: Proceedings of IEEE, International Conference on Neural Networks, vol. 5, Perth, MA, USA, pp. 2403-2408 (1995)
12. Man, Z., Wu, H., Palaniswami, M.: An adaptive tracking controller using neural networks for a class of nonlinear systems. IEEE Trans. Neural Netw. 9(5), 947-955 (1998)
13. Wen, G., Liu, Y.: Adaptive fuzzy-neural tracking control for uncertain nonlinear discrete-time systems in the NARMAX form. Nonlinear Dyn. 66(4), 745-753 (2011)
14. Wang, H., Chen, B., Lin, C.: Direct adaptive neural control for strict-feedback stochastic nonlinear systems. Nonlinear Dyn. 67(4), 2703-2718 (2012)
15. Forouzantabar, A., Talebi, H.A., Sedigh, A.K.: Adaptive neural network control of bilateral teleoperation with constant time delay. Nonlinear Dyn. 67(2), 1123-1134 (2012)
16. Zhang, T., Ge, S.: Adaptive neural network tracking control of MIMO nonlinear systems with unknown dead zones and control directions. IEEE Trans. Neural Netw. 20(3), 483- 497 (2009)
17. Fei, J.: Robust adaptive vibration tracking control for a MEMS vibratory gyroscope with bound estimation. IET Control Theory Appl. 4(6), 1019-1026 (2010)
18. John, J., Vinay, T.: Novel concept of a single mass adaptively controlled triaxial angular velocity sensor. IEEE Sens. J. 6(3), 588-595 (2006)