Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29341
Title: Improving an adaptive controller for non-minimum phase plants
Authors: Yuan, J 
Keywords: Adaptive control
Identification algorithms
Non-minimum phase systems
Issue Date: 2002
Publisher: Pergamon Press
Source: Automatica, 2002, v. 38, no. 5, p. 869-873 How to cite?
Journal: Automatica 
Abstract: This study improves an adaptive controller for linear discrete-time plants in two aspects: (1) a new adaptation law is proposed to reduce the residual and the parameter errors; (2) a new method is proposed to modify the parameter estimates if the estimated model is not controllable. The second improvement is required when the plant is non-minimum phase. It obtains a controllable model from available parameter estimates while minimizing the modification offset. These features enhance closed-loop tracking performance of the adaptive controller when it is applied to non-minimum phase plants.
URI: http://hdl.handle.net/10397/29341
ISSN: 0005-1098
DOI: 10.1016/S0005-1098(01)00258-8
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