[1] A. Isidori, Nonlinearcontrol Systems, Springer-Verlag,(1989).
[2] S. S. Sastry and A, Isidori, Adaptive control of linearizable systems, IEEE. Trans. Auto.Contr., 34, 11 (1989).
[3] D. G. Taylor, P. V' Kokotovic, R. Marino and I. Kanellakopouilos, Adaptive regulation of nonlinear systems with unmodeIed dynamics, IEEE. Trans. Auto Contr., 34, 4 (1989).
[4] I. Kanellakopoulos, P. V. Kokotovic and R. Marino, Robustness of adaptive nonlinear control under an extended matching condition, IFAC Nonlinear Control Systems Design,(1989).
[5] I. Kanellakopoulos, P. V. Kokotovic, and A. S. Morse, Systematic design of adaptive controllers for feadback linearizable system. IEEE. Trans. Auto. Contr., 36, 11(1991).
[6] F. C. Chen, Back-propagation neural networks for nonlinear self-tuning adaptive control,IEEE. Conlr. Syst. Mag., 10, 3 (1990).
[7] F. C. Chen, A dead-zone approach in nonlinear adaptive control using neural networks,Proc. 3OIh IEEE. C. D. C. (1991 ).
[8] C. C. Liu and F. C. Chen, Adaptive control of nonlinear continuoustime systems usingneural networks-general ralative degree and MIMO cases, Int Contr., 58, 2 (1993).
[9] R. Sanner and J. J. E. Slotine, Stable adaptive control and recursive identification usingradial gaussian networks, Proc. 3oth IEEE. C. D. C. (1991).
[10] J. J. E. Slotine and J. K. Hedrick. Robust input-output ttedback linearization, Int. J.Contr., 57, 5 (1993).
[11] K. Narendra and L. Valayani, A comparison of Lyapunov and hyperstability approachesto adaptive control of continous systems, IEEE Trans. Auto. Contr., AC-25, 2 (1980). |
Email Alert
RSS