Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0165-0114(02)00126-4
Title: A new fuzzy logic learning control scheme for repetitive trajectory tracking problems
Authors: Xu, J.-X. 
Xu, J. 
Keywords: Fuzzy logic control
Learning control
PD control
Repetitive tracking tasks
Issue Date: 1-Jan-2003
Source: Xu, J.-X., Xu, J. (2003-01-01). A new fuzzy logic learning control scheme for repetitive trajectory tracking problems. Fuzzy Sets and Systems 133 (1) : 57-75. ScholarBank@NUS Repository. https://doi.org/10.1016/S0165-0114(02)00126-4
Abstract: In this paper, we consider repeatable tracking control tasks using a new control approach - PD type fuzzy logic learning control (FLLC). FLLC integrates two main control strategies: fuzzy logic control as the basic control part and learning control as the refinement part. The new FLLC is constructed by simply adding an iterative learning mechanism to a fuzzy PD controller. The incorporation of the learning function into fuzzy PD controllers ensures exact tracking because it completely nullifies the effects of reference signal and periodic disturbances on the tracking error. Through the rigorous proof based on energy function and functional analysis, we show that the proposed FLLC system achieves the following novel properties: (1) the tracking error sequence converges uniformly to zero; (2) learning control sequence converges to the desired control profile almost everywhere. © 2002 Elsevier Science B.V. All rights reserved.
Source Title: Fuzzy Sets and Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/54515
ISSN: 01650114
DOI: 10.1016/S0165-0114(02)00126-4
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