Neural network control of nonlinear time-delay system with unknown dead-zone and its application to a robotic servo system

Communications in Computer and Information Science

Volumn 103 CCIS, Issue , 2010, Pages 338-345

  Na, Jing ^a   Herrmann, Guido ^b   Ren, Xuemei ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

^b UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

Adaptive control; Dead zone; Neural Networks; Servo systems; Time delay systems

Indexed keywords

ADAPTIVE CONTROL; ADAPTIVE CONTROLLERS; CHARACTERISTIC PARAMETER; DEAD-ZONE; HIGH-ORDER NEURAL NETWORK; INVERSE MODELS; LYAPUNOV KRASOVSKII FUNCTION; NEURAL NETWORK CONTROL; NON-LINEARITY; NONLINEAR TIME-DELAY SYSTEMS; SCALAR WEIGHTS; SEMI-GLOBALLY UNIFORMLY ULTIMATELY BOUNDED; SERVO SYSTEM; SINGULARITY PROBLEMS; SYSTEM DYNAMICS; TIME-DELAY SYSTEMS; UNKNOWN TIME DELAYS; UNKNOWN TIME-VARYING DELAYS;

DELAY CONTROL SYSTEMS; INTELLIGENT ROBOTS; NEURAL NETWORKS; ROBOTICS; TIME DELAY; TIME VARYING CONTROL SYSTEMS;

ADAPTIVE CONTROL SYSTEMS;

EID: 78149232955     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-15810-0_43     Document Type: Conference Paper

References (16)

1. Tao, G., Kokotovic, P.V.: Adaptive Control of Systems with Actuator and Sensor Nonlinearities. Wiley, New York (1996)
2. Tao, G., Lewis, F.L.: Adaptive Control of Nonsmooth Dynamic Systems. Springer, London (2003)
3. Ibrir, S., Xie, W.F., Su, C.Y.: Adaptive tracking of nonlinear systems with non-symmetric dead-zone input. Automatica 43, 522-530 (2007)
4. Selmic, R.R., Lewis, F.L.: Deadzone compensation in motion control systems using neural networks. IEEE. Trans. Automat. Contr. 45, 602-613 (2000)
5. Zhang, T.P., Ge, S.S.: Adaptive dynamic surface control of nonlinear systems with unknown dead zone in pure feedback form. Automatica 44, 1895-1903 (2008)
6. Zhou, J.: Decentralized adaptive control for large-scale time-delay systems with dead-zone input. Automatica 44, 1790-1799 (2008)
7. Huang, J.Q., Lewis, F.L.: Neural-network predictive control for nonlinear dynamic systems with time delay. IEEE Trans. Neural Netw. 14, 377-389 (2003)
8. Na, J., Ren, X.M., Huang, H.: Time-delay positive feedback control for nonlinear time-delay systems with neural network compensation. ACTA Automat. Sin. 34, 1196-1203 (2008)
9. Ge, S.S., Hong, F., Lee, T.H.: Adaptive neural network control of nonlinear systems with unknown time delays. IEEE Trans. Automat. Contr. 48, 2004-2010 (2003)
10. Hong, F., Ge, S.S., Lee, T.H.: Practical adaptive neural control of nonlinear systems with unknown time delays. IEEE Trans. Syst., Man, Cybern. B, Cybern. 35, 849-854 (2005)
11. Ge, S.S., Hong, F., Lee, T.H.: Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients. IEEE Trans. Syst., Man, Cybern. B, Cybern. 34, 499-516 (2004)
12. Wang, M., Chen, B., Shi, P.: Adaptive neural control for a class of perturbed strict-feedback nonlinear time-delay systems. IEEE Trans. Syst., Man, Cybern. B, Cybern. 38, 721-730 (2008)
13. Zhang, T.P., Ge, S.S.: Adaptive neural control of MIMO nonlinear state time-varying delay systems with unknown dead-zones and gain signs. Automatica 43, 1021-1033 (2007)
14. Kosmatopoulos, E.B., Polycarpou, M.M., Christodoulou, M.A., Ioannou, P.A.: High-order neural network structures for identification of dynamical systems. IEEE Trans. Neural Netw. 6, 422-431 (1995)
15. Ge, S.S., Tee, K.P.: Approximation-based control of nonlinear MIMO time-delay systems. Automatica 43, 31-43 (2007)
16. The World's Largest Antenna Measuring Range: Astrium and EurasSpace Deliver Compact Range to China, http://classic.eads.net/1024/en/pressdb/archiv/ 2003/2003/en-20030321-euras-e.html