2022
DOI: 10.3390/a15120452
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Special Issue “Model Predictive Control: Algorithms and Applications”: Foreword by the Guest Editor

Abstract: Model Predictive Control (MPC) is an advanced control method that makes it possible to effectively control Multiple-Input Multiple-Output (MIMO) processes subject to different types of constraints [...]

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Cited by 1 publication
(2 citation statements)
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“…This proposed converter uses fewer components than the converter presented in [26][27][28][29][30][31][32] which reduces the cost of the converter when employed in practical applications. Table 2 illustrates the comparison among the preferred MPC approach with DC-DC buck [16,33], DC-DC boost [34,35], and DC-DC SEPIC MPC [36] converters. In addition, the comparison includes the indirect SMC approach developed for DC-DC SEPIC converters [24].…”
Section: Performance Comparisonmentioning
confidence: 99%
See 1 more Smart Citation
“…This proposed converter uses fewer components than the converter presented in [26][27][28][29][30][31][32] which reduces the cost of the converter when employed in practical applications. Table 2 illustrates the comparison among the preferred MPC approach with DC-DC buck [16,33], DC-DC boost [34,35], and DC-DC SEPIC MPC [36] converters. In addition, the comparison includes the indirect SMC approach developed for DC-DC SEPIC converters [24].…”
Section: Performance Comparisonmentioning
confidence: 99%
“…To improve the system's dynamic response, control objectives and nonlinear control strategies are introduced for DC-DC converters [15]. For example, model predictive control (MPC) and sliding mode control (SMC) are notable for their quick dynamic response and robustness [16]. The model predictive control is an optimal control strategy in which the system's current state is used to determine the solution of the finite-horizon optimal control problem at each sampling instance.…”
Section: Introductionmentioning
confidence: 99%