TY - GEN
T1 - Resilient delay-dependent adaptive control of uncertain time-delay systems
AU - Nounou, Hazem N.
AU - Nounou, Mohamed N.
PY - 2007
Y1 - 2007
N2 - In this article, resilient delay-dependent adaptive control algorithms are developed for closed-loop stabilization of a class of uncertain time-delay systems with time-varying state delay, nonlinear dynamical perturbation, and controller gain perturbation. The norm of the nonlinear perturbation is assumed to be bounded by a weighted norm of the state, and the norm of the uncertainty of the state feedback gain is assumed to be bounded by a positive constant. Two main problems are investigated. In the first problem, an adaptive control scheme is developed to guarantee asymptotic stabilization of the closed-loop system when the value of the upper bound of the norm of the state feedback gain perturbation is known. In the second problem, asymptotically stabilizing adaptive controller is derived when the value of the upper bound of the norm of the state feedback gain perturbation is assumed to be unknown. A numerical simulation example, that illustrates the two design approaches, is presented.
AB - In this article, resilient delay-dependent adaptive control algorithms are developed for closed-loop stabilization of a class of uncertain time-delay systems with time-varying state delay, nonlinear dynamical perturbation, and controller gain perturbation. The norm of the nonlinear perturbation is assumed to be bounded by a weighted norm of the state, and the norm of the uncertainty of the state feedback gain is assumed to be bounded by a positive constant. Two main problems are investigated. In the first problem, an adaptive control scheme is developed to guarantee asymptotic stabilization of the closed-loop system when the value of the upper bound of the norm of the state feedback gain perturbation is known. In the second problem, asymptotically stabilizing adaptive controller is derived when the value of the upper bound of the norm of the state feedback gain perturbation is assumed to be unknown. A numerical simulation example, that illustrates the two design approaches, is presented.
UR - http://www.scopus.com/inward/record.url?scp=62749207144&partnerID=8YFLogxK
U2 - 10.1109/CDC.2007.4434271
DO - 10.1109/CDC.2007.4434271
M3 - Conference contribution
AN - SCOPUS:62749207144
SN - 1424414989
SN - 9781424414987
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 909
EP - 914
BT - Proceedings of the 46th IEEE Conference on Decision and Control 2007, CDC
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 46th IEEE Conference on Decision and Control 2007, CDC
Y2 - 12 December 2007 through 14 December 2007
ER -