Abstract
In this paper, output feedback adaptive control is investigated for a class of nonlinear systems in output-feedback form with unknown control gains. To construct output feedback control, the system is transformed into the form of the NARMA (nonlinear-auto-regressive-moving-average) model, based on which future output prediction is carried out. With employment of the predicted future output, a constructive output feedback adaptive control is given with the discrete Nussbaum gain exploited to overcome the difficulty due to unknown control directions. Under the global Lipschitz condition of the system functions, the boundedness of all the closed-loop signals and asymptotical output tracking are achieved by the proposed control. Simulation results are presented to show the effectiveness of the proposed approach.
Publication Date
2009-01-01
Publication Title
Automatica
Volume
45
Publisher
Elsevier
Embargo Period
2024-11-22
First Page
270
Last Page
276
Recommended Citation
Yang, C., Ge, S., & Lee, T. (2009) 'Output Feedback Adaptive Control of a Class of Nonlinear Discrete-Time Systems with Unknown Control Directions', Automatica, 45, pp. 270-276. Elsevier: Retrieved from https://pearl.plymouth.ac.uk/secam-research/1579
