Intelligent Engineering Systems Through Artificial Neural Networks Volume 18
DOI: 10.1115/1.802823.paper77
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A Design Method for Modified Smith Predictors for Non-Minimum-Phase Time-Delay Plants with Feedback Connected Multiple Time-Delays

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Cited by 3 publications
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“…In this section, we present a design method for robustly stabilizing controller satisfying Theorem 3 using the parametrization of all stabilizing modified Smith predictor [16][17][18].…”
Section: Design Methods For Robustly Stabilizing Controllermentioning
confidence: 99%
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“…In this section, we present a design method for robustly stabilizing controller satisfying Theorem 3 using the parametrization of all stabilizing modified Smith predictor [16][17][18].…”
Section: Design Methods For Robustly Stabilizing Controllermentioning
confidence: 99%
“…According to [18], the parametrization of all stabilizing modified Smith predictor for non-minimumphase plant G m (s)e −sT is written by…”
Section: Design Methods For Non-minimum-phase Plantmentioning
confidence: 99%
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“…Yamada overcame these problems and proposed the parameterization of all proper internally stabilizing controllers for single-input/single-output minimum-phase plants [8]. The parameterization of all stabilizing controllers in [8] is applied to many control problems such as the parameterization of all stabilizing modified repetitive controllers for minimum-phase plants [10], adaptive control systems [11,12], model feedback control systems [13], parallel compensation technique [14], PI control [15] and PID control [16]. If the parameterization of all stabilizing controllers for multipleinput/multiple-output minimum-phase plants is obtained, results in [10,11,12,13,14,15,16] are expanded for multiple-input/multiple-output minimum-phase plants.…”
Section: Introductionmentioning
confidence: 99%
“…The parameterization of all stabilizing controllers in [8] is applied to many control problems such as the parameterization of all stabilizing modified repetitive controllers for minimum-phase plants [10], adaptive control systems [11,12], model feedback control systems [13], parallel compensation technique [14], PI control [15] and PID control [16]. If the parameterization of all stabilizing controllers for multipleinput/multiple-output minimum-phase plants is obtained, results in [10,11,12,13,14,15,16] are expanded for multiple-input/multiple-output minimum-phase plants. From these viewpoints, Yamada et al examined the parameterization of all stabilizing controllers for multiple-input/multiple-output minimum-phase plants [9].…”
Section: Introductionmentioning
confidence: 99%