2012
DOI: 10.1541/ieejeiss.132.834
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PFC design via FRIT Approach for Adaptive Output Feedback Control of Discrete-time Systems

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Cited by 6 publications
(2 citation statements)
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“…All the conditions remained the same, except for d, which in this case was set to 20. From (15), it can be seen that a larger value of d led to a decrease in the control input, which implies that the control input can-not effectively and timely suppress the output. The trajectories of adaptive gains in comparative study are plotted in Fig.…”
Section: Experimental Evaluationmentioning
confidence: 99%
See 1 more Smart Citation
“…All the conditions remained the same, except for d, which in this case was set to 20. From (15), it can be seen that a larger value of d led to a decrease in the control input, which implies that the control input can-not effectively and timely suppress the output. The trajectories of adaptive gains in comparative study are plotted in Fig.…”
Section: Experimental Evaluationmentioning
confidence: 99%
“…Mizumoto and Fujimoto [10] presented the idea that a feedforward input obtained by adaptive predictive control could compensate for the steady state error. Several other extended works [11][12][13][14][15] have been published based on this idea. In these publications, the adaptive predictive control output was obtained based on neural networks or generalized predictive control (GPC), which implied that the control structure was complex, and learning cost is considerable large.…”
Section: Introductionmentioning
confidence: 99%