Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72475
Title: An approach to adaptive control of continuous-time systems using multiple parallel predictive models
Authors: Lee, T.H. 
Koh, E.K. 
Issue Date: 1990
Source: Lee, T.H.,Koh, E.K. (1990). An approach to adaptive control of continuous-time systems using multiple parallel predictive models. Proceedings of the American Control Conference : 1091-1094. ScholarBank@NUS Repository.
Abstract: An approach to the adaptive control o continuous-time systems using multiple parallel predictive models is presented. It is motivated by the generalized predictive control method in discrete time of D. W. Clarke et al. (Automatica, vol. 23, no. 2, pp. 137-148, 1987). A bank of N parallel predictive models, each one applicable to a plant model of different relative degree, is used to develop an adaptive control strategy that requires only knowledge of an upper bound on the order of the plant but does not require exact knowledge of the relative degree. The adaptive controller is also applicable to nonminimum-phase systems.
Source Title: Proceedings of the American Control Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/72475
ISSN: 07431619
Appears in Collections:Staff Publications

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