Please use this identifier to cite or link to this item: https://doi.org/10.1360/aas-007-0323
Title: New feedback-feedforward configuration for the iterative learning control of a class of discrete-time systems
Authors: Hou, Z.-S.
Xu, J.-X. 
Keywords: Feedback control
Feedforward control
Iterative learning control
Nonlinear systems
Issue Date: Mar-2007
Source: Hou, Z.-S.,Xu, J.-X. (2007-03). New feedback-feedforward configuration for the iterative learning control of a class of discrete-time systems. Zidonghua Xuebao/Acta Automatica Sinica 33 (3) : 323-326. ScholarBank@NUS Repository. https://doi.org/10.1360/aas-007-0323
Abstract: This paper presents a new feedback-feedforward configuration for the iterative learning control (ILC) design with feedback, which consists of a feedback and a feedforward component. The feedback integral controller stabilizes the system, and takes the dominant role during the operation, and the feedforward ILC compensates for the repeatable nonlinear/unknown time-varying dynamics and disturbances, thereby enhancing the performance achieved by feedback control alone. As the most favorable point of this control strategy, the feedforward ILC and the feedback control can work either independently or jointly without making efforts to reconfigurate or retune the feedforward/feedback gains. With rigorous analysis, the proposed learning control scheme guarantees the asymptotic convergences along the iteration axis.
Source Title: Zidonghua Xuebao/Acta Automatica Sinica
URI: http://scholarbank.nus.edu.sg/handle/10635/56797
ISSN: 02544156
DOI: 10.1360/aas-007-0323
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