Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICICIC.2006.36
Title: Adaptive feedback-feedforward control for a class of nonlinear chemical processes
Authors: Jia, L.
Chiu, M.-S. 
Issue Date: 2006
Source: Jia, L.,Chiu, M.-S. (2006). Adaptive feedback-feedforward control for a class of nonlinear chemical processes. First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06 : 93-96. ScholarBank@NUS Repository. https://doi.org/10.1109/ICICIC.2006.36
Abstract: To circumvent the drawbacks in nonlinear controller designing of chemical processes, an adaptive feedback-feedforward control scheme is proposed in this paper. A class of nonlinear processes with modest nonlinearities is approximated by a composite model consisting a linear ARX model and a fuzzy neural network-based linearization error model. In addition, the stable analysis is also discussed. Simulation results show that the feedforward control plays a major role in improving the control performance, and the proposed feedback-feedforward control possesses better performance. © 2006 IEEE.
Source Title: First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06
URI: http://scholarbank.nus.edu.sg/handle/10635/74468
ISBN: 0769526160
DOI: 10.1109/ICICIC.2006.36
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