2011 IEEE International Conference on Mechatronics and Automation 2011
DOI: 10.1109/icma.2011.5986258
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A neuro-fuzzy compensator based Smith predictive control for FOPLDT process

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Cited by 7 publications
(2 citation statements)
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“…These kinds of models were used because the system had a nonlinear actuator, time varying linear parameters and varying dead time systems. For dead time systems some other sophisticated solutions appear like in (Hao, Zouaoui, et al, 2011) www.intechopen.com…”
Section: Introductionmentioning
confidence: 99%
“…These kinds of models were used because the system had a nonlinear actuator, time varying linear parameters and varying dead time systems. For dead time systems some other sophisticated solutions appear like in (Hao, Zouaoui, et al, 2011) www.intechopen.com…”
Section: Introductionmentioning
confidence: 99%
“…These kinds of models were used because the system had a nonlinear actuator, time varying linear parameters and varying dead time systems. For dead time systems some other sophisticated solutions appear like in (Hao, Zouaoui, et al, 2011) that used a neuro-fuzzy compensator based in Smith predictive control to achieved better results. Or other solutions for unknown dead time delays like (Dong-Na, Guo, et al, 2008) that use gray predictive adaptive Smith-PID control because the dead time variation is unknown.…”
Section: Introductionmentioning
confidence: 99%