Electrical & Computer Engineering Faculty Publications
Document Type
Article
Publication Date
12-7-1988
Abstract
An adaptive controller is developed that takes advantage of the structure and any known dynamics of the system in order to increase speed of adaptation and relax the conditions required for convergence. The control design method has two stages. First, the known dynamics are separated out and used to perform a global linearization on the nonlinear system. Second, a model-reference adaptive control, based on the Lyapunov stability criterion, is designed for the remaining unknown portion of the plant. This control scheme is shown to relax several assumptions usually made in applying adaptive control to a manipulator system. For instance, it relaxes the common assumption that the time-varying plant is close to the desired model.
Publisher
IEEE
Publication Title
Proceedings of the 27th IEEE Conference on Decision and Control
First Page
2425
Last Page
2427
Language (ISO)
English
Sponsorship
IEEE
Keywords
Adaptive control, Control systems, Convergence
Recommended Citation
Abdallah, Chaouki T.; F. L. Lewis; and G. Maliotis. "Robust adaptive control for a class of partially known nonlinear systems." Proceedings of the 27th IEEE Conference on Decision and Control (1988): 2425-2427. https://digitalrepository.unm.edu/ece_fsp/98