Predictive Optimal Switching Sequence Direct Power Control for Grid-Connected Power Converters

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Guidelines for the Design of Finite Control Set Model Predictive Controllers (2020, neutral): “, [64]–[72].”
Weighting Factor Design in Model Predictive Control of Power Electronic Converters: An Artificial Neural Network Approach (2019, background): “and lower bounds on the number of switching instances [13], and implementing modulated [14] or quasi-modulated MPC algorithms [15].”
An Overview of Dynamic-Linearization-Based Data-Driven Control and Applications (2017, methodology): “The typical modern control methods include optimal control [1], adaptive control [2], model-predictive control [3], [4],”
Model Predictive Current Control for PMSM Drives With Parameter Robustness Improvement (2019, methodology): “However, along with the development of the digital microprocessor, MPC has been widely applied to other application areas, such as power quality [10], [11], machine drive [12]–[14], grid-connected converters [15], [16], and controllable power supplies [17], [18].”
A Simple Model Predictive Power Control Strategy for Single-Phase PWM Converters With Modulation Function Optimization (2016, neutral): “Being similar to direct current control, the DPC scheme commonly includes hysteresis lookup-table control [18]–[20], fuzzy-logic lookup-table control [21], PI-based linear power control [26], [27], sliding model nonlinear control [28], deadbeat predictive control [29]–[31], and model predictive cont”