Improving an adaptive controller for non-minimum phase plants

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
Issue Date:	2002
Source:	Automatica, 2002, v. 38, no. 5, p. 869-873
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.
Keywords:	Adaptive control Identification algorithms Non-minimum phase systems
Publisher:	Pergamon Press
Journal:	Automatica
ISSN:	0005-1098
DOI:	10.1016/S0005-1098(01)00258-8
Appears in Collections:	Journal/Magazine Article

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