Title :
Robust adaptive nonlinear regulation with dynamic uncertainties
Author :
Jiang, Zhong-Ping ; Hill, David J.
Author_Institution :
Dept. of Electr. Eng., Sydney Univ., NSW, Australia
Abstract :
This paper presents a constructive robust adaptive nonlinear control scheme which can be regarded as a robustification of the now popular adaptive backstepping algorithm. The allowed class of uncertainties includes nonlinearly appearing parametric uncertainty, uncertain nonlinearities and unmeasured input-to-state stable dynamics. In contrast to approach given by Jiang-Praly (1992, 1996), the adaptive control laws proposed in this paper do not require any dynamic dominating signal to guarantee Lagrangean stability. The numerical example of a simple pendulum with unknown parameters and without velocity measurement illustrates our theoretical results
Keywords :
Lyapunov methods; adaptive control; control nonlinearities; control system synthesis; feedback; nonlinear systems; pendulums; robust control; uncertain systems; Lagrangean stability; Lyapunov function; adaptive control; dynamics; feedback; nonlinear systems; parametric uncertainty; pendulum; robust control; uncertain nonlinearities; Adaptive control; Backstepping; Control systems; Lagrangian functions; Nonlinear control systems; Nonlinear systems; Programmable control; Robust control; Robustness; Uncertainty;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.657911