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Scheduling and control are typically viewed as separate applications because of historical factors such as limited computing resources. Now that algorithms and computing resources have advanced, there are new efforts to have short-term decisions (control) interact or merge with longer-term decisions (scheduling). A new generation of numerical optimization methods are evolving to capture additional benefits and unify the approach to manufacturing process automation. This special issue is a collection of some of the latest advancements in scheduling and control for both batch and continuous processes. It contains developments with multi-scale problem formulation, software for the new class of problems, and a survey of the strengths and weaknesses of successive levels of integration.

Scheduling --- Control --- Numerical Optimization --- Large-scale --- Smart Manufacturing --- Advanced Control --- Model Predictive Control --- Energy Systems --- Real-time Optimization

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This work combines the current trends in automotive industries (E-mobility, autonomous driving and connected car) in a new design of a driver assistance system for Hybrid Electric Vehicles that overtakes the speed control as well as the control of the energy management.

Hybridfahrzeuge, Energiemanagement, Fahrerassistenzsysteme, Optimale Regelung, Modellbasierte Prädiktive Regelunghybrid vehicles, energy management systems, driver assistance, optimal control, model predictive control

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In this work, an innovative real-time microwave control approach is proposed, to improve the temperature homogeneity under microwave heating. Multiple adaptive or intelligent control structures have been developed, including the model predictive control, neural network control and reinforcement learning control methods. Experimental results prove that these advanced control methods can effectively reduce the final temperature derivations and improve the temperature homogeneity.

Mikrowellenerwärmung, Mehrgrößenregelung, Modellprädiktive Regelung, Künstliches neuronales Netz, Bestärkendes Lernenmicrowave heating, multiple-input multiple-output (MIMO), model predictive control (MPC), neural network, reinforcement learning

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This book presents some latest treatments of several specific, but fundamental problems about the data communication and control of smart microgrids. It provides readers some valuable insights into advanced control and communication of microgrids. With the help of mathematical tools, graduate students will benefit with a deep understanding of microgrids and explore some new research directions. In the meantime, this book gives various pictures and flowcharts to show how to address some challenges in microgrids. In addition, it provides solutions to serval specific technical problems, which might be helpful as references for the R&D staff about power systems in utilities and industry. Specifically, the book introduces the applications of advanced control methods such as sliding mode control and model predictive control for microgrids. After getting in-depth understanding of these advanced control methods, the readers are able to design their own improved controllers for not only microgrids, but also for other real-world power plants. Besides, the readers will also learn how to design distributed transaction mechanisms for power market based on the cutting edge blockchain technology.

battery energy storage system --- modular multilevel converter --- model predictive control --- disturbance observer --- AC current control --- circulating current control --- terminal sliding mode --- DC-DC converter --- disturbance observer --- blockchain --- decentralized market --- integrated energy transaction --- transaction scheme design --- integrated energy system --- thermal network planning --- carbon emission --- clean energy --- energy storage device --- demand side management --- electricity market --- game theory --- home energy management system --- home microgrid --- Nikaido-Isoda function

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This book is a collection of scientific papers concerning multilevel inverters examined from different points of view. Many applications are considered, such as renewable energy interface, power conditioning systems, electric drives, and chargers for electric vehicles. Different topologies have been examined in both new configurations and well-established structures, introducing novel and particular modulation strategies, and examining the effect of modulation techniques on voltage and current harmonics and the total harmonic distortion.

DC–DC conversion --- interleaved buck --- parasitic switching states --- three-level converter --- simplified PWM strategy --- redundant switching combination --- voltage balance control --- modular multilevel converter --- IGBT short-circuit --- fault detection --- fault location --- Differential Comparison Low-Voltage Detection Method (DCLVDM) --- Continuous Wavelet Transform --- digital controller --- digital signal processors (DSP) --- modular multilevel converters (MMC) --- multi-terminal DC network (MTDC) --- MMC-MTDC --- hybrid modulated model predictive control --- optimal output voltage level --- multi-point DC control --- neutral-point-clamped (NPC) inverter --- dc-link capacitor voltage balance --- offset voltage injection --- harmonic component --- modular multilevel converters --- capacitor voltage balancing --- sorting networks --- field-programmable gate array --- low-harmonic DC ice-melting device --- transmission line --- voltage fluctuation --- harmonic --- dynamic reactive --- substation’s voltage stability --- alternating current (AC) motor drive --- current estimation --- current reconstruction method --- current unmeasurable areas --- total harmonic distortion (THD) --- single shunt resistor --- space vector pulse width modulation (SVPWM) --- shift method --- minimum voltage injection (MVI) method --- three-level neutral point clamped inverter (NPCI) --- three-level boost --- automatic current balance --- three-loop --- voltage imbalance --- DC-link voltage balancing --- field-oriented control --- field-programmable gate array --- multilevel active-clamped converter --- motor drive --- buck-chopper --- PV-simulator --- T-type converter --- real time simulator --- three-level boost DC-DC converter --- small signal modeling --- voltage balance control --- multilevel converter --- selected harmonic elimination --- genetic algorithm --- imperialist competitive algorithm --- voltage ripple --- voltage source inverter --- three-phase inverter --- DC-link capacitor design --- Cascaded H-bridge multilevel inverter (CHBMI) --- field-programmable gate array --- total harmonic distortion (THD) --- modulation techniques --- multilevel converter --- electric vehicle --- on-board battery charger --- power factor correction --- power quality --- smart grid --- model predictive control --- single-phase three-level NPC converter --- commutation --- modular multilevel converter (MMC) --- Sub-module (SM) fault --- fault-tolerant control --- Phase Disposition PWM --- finite control set model predictive control --- T-type inverter --- computational cost --- LC filter --- DC-link capacitor voltage balancing --- multilevel converter --- DC side fault blocking --- predictive control --- battery energy storage system (BESS) --- modular multilevel converter (MMC) --- state-of-charge (SOC) balancing control --- tolerance for battery power unbalance --- model predictive control (MPC) --- computational burden --- reverse prediction --- modular multilevel converter (MMC) --- multilevel inverters --- total harmonic distortion --- level-shifted PWM --- phase-shifted PWM --- electrical drives --- energy saving --- multilevel power converters --- permanent magnet synchronous generator --- open-end winding configuration --- voltage balancing --- power factor --- improved PQ algorithm --- power flow analysis --- three-phase to single-phase cascaded converter --- ACTPSS --- NPC/H Bridge --- five-level --- Balance of capacitor voltage --- Suppression of CMV --- SVPWM --- multilevel converter --- multi-motor drive --- harmonic mitigation --- active filter --- open end winding motor --- high efficiency drive --- high reliability applications