<![CDATA[ IEEE Transactions on Industrial Electronics - new TOC ]]>
http://ieeexplore.ieee.org
TOC Alert for Publication# 41 2022January 17<![CDATA[Table of Contents]]>695C14308126<![CDATA[IEEE Industrial Electronics Society]]>695C2C269<![CDATA[Inductor Saturation Compensation in Three-Phase Three-Wire Voltage-Source Converters Via Inverse System Dynamics]]>695430943192435<![CDATA[Output Admittance Synthesizer for Synchronverters]]>$pm$1). The sequence discrimination enables the SV to have two different admittances at each frequency: A positive sequence and a negative sequence admittance. This feature is of interest for both treating harmonics and imbalance of the voltage at the point of common coupling. Additionally, using the OAS allows to place the closed loop poles of the resulting feedback system at arbitrary locations.]]>695432043282576<![CDATA[Novel Concept of Solar Converter With Universal Applicability for DC and AC Microgrids]]>695432943414443<![CDATA[An Integrated Wireless Motor System Using Laminated Magnetic Coupler and Commutative-Resonant Control]]>6954342435210397<![CDATA[Analysis and Design of a Fault-Tolerant Permanent Magnet Vernier Machine With Improved Power Factor]]>695435343634492<![CDATA[Dynamic Circulating Current Suppression Method for Multiple Hybrid Power Parallel Grid-Connected Inverters With Model Reference Adaptive System]]>695436443755461<![CDATA[Full Parameter Estimation for Permanent Magnet Synchronous Motors]]>d-q frame due to the problem of rank deficiency. The α-β frame possesses the inherent advantage that full motor parameters can be estimated using voltage functions during steady and transient states. An algorithm based on recursive least squares in the α-β frame is proposed to estimate full motor parameters, including stator resistance, $d$-axis and $q$-axis inductances, and flux linkage simultaneously. Simulation and experimental results on the PMSM drive system are presented to verify the effectiveness of the proposed algorithm. Compared with the method in the d-q frame, the superiority of the proposed method in terms of faster convergence rate, less computational cost, and high accuracy is demonstrated.]]>695437643862829<![CDATA[Designing an Energy-Saving Induction Motor Operating in a Wide Frequency Range]]>695438743974417<![CDATA[Robust Predictive Stator Current Control Based on Prediction Error Compensation for a Doubly Fed Induction Generator Under Nonideal Grids]]>695439844088848<![CDATA[An Enhanced Rotor Position/Speed Estimation Technique for Doubly Fed Induction Generator Using Stator-Side Reactive Current Variable in Model Reference Adaptive System]]>695440944189767<![CDATA[Influence of Start Rotor Position on Three-Phase Short-Circuit Current in Dual Three-Phase Surface-Mounted PM Machines]]>M_{a}_{c}, M_{bc}, and M_{ab}, start rotor positions causing the largest d-axis peak current are about π/6+kπ, π/2+kπ, and 5π/6+kπ (k = 1, 2, 3…), respectively. To obtain the largest q-axis peak current, such start rotor positions are about 7π/24+kπ, 5π/8+kπ, and 23π/24+kπ (k = 1, 2, 3&#x-
026;). In addition, the influence of rotor speed and asymmetric level is discussed. Finally, finite-element simulation is performed and experiments are conducted to validate the theoretical analysis.]]>695441944304968<![CDATA[A Simplified Space Vector Pulse Density Modulation Scheme Without Coordinate Transformation and Sector Identification]]>695443144394170<![CDATA[Correction of Field Orientation Inaccuracy Caused by Resolver Periodic Error and Rotor Time Constant Variation for Indirect Field-Oriented Control Induction Motor Drives]]>dq currents deviate from the reference values. The cross-product of fundamental and harmonic current vectors contains the information of resolver periodic error. The gradient descent method with a variable step is introduced to compensate the periodic error. During the process, the cross-product is minimized. A new form of cross-product calculation is derived to reduce the computation time. The rotor time constant is identified by the reactive-power based model reference adaptive system (MRAS). Voltages and currents in the stationary reference frame are used in the reference model to avoid the influence of resolver periodic error. Appropriate parameters of the MRAS are selected to guarantee the stability. The algorithm is integrated with an induction motor drive which is based on indirect field-oriented control. The feasibility of the proposed algorithm is verified by simulation results and experiments.]]>695444044507802<![CDATA[Analysis of Current Error Space Phasor for a Space Vector-Modulated Indirect Matrix Converter]]>695445144593242<![CDATA[Analysis of the Sideband Electromagnetic Noise in Permanent Magnet Synchronous Motors Generated by Rotor Position Error]]>695446044712799<![CDATA[Short-Circuit Fault-Tolerant Control Without Constraint on the <italic>D</italic>-Axis Armature Magnetomotive Force for Five-Phase PMSM]]>d-axis armature magnetomotive force (MMF) and restraining the backward-rotating MMF components to be zero, round-rotating armature MMF with maximum q-axis armature MMF is achieved, which enables five-phase PMSM to output maximum smooth torque with lower losses and higher efficiency under SC fault condition. To ensure smooth postfault operation in full-speed range, the influence of winding resistance on SC current is further considered, which improves low-speed operation performance. The proposed FTC method features sinusoidal currents with equal amplitude, which ensures better control simplicity and postfault thermal uniformity between phases. The finite-element analysis and experiments are carried out to verify the proposed method.]]>695447244835999<![CDATA[DC-Link Capacitor and Inverter Current Ripples in Anisotropic Synchronous Motor Drives Produced by Synchronous Optimal PWM]]>695448444942619<![CDATA[Minimum-Nonlinear-Voltage Method for Torque Ripple Suppression in Induction Motor Overmodulation and Field-Weakening Control]]>695449545094209<![CDATA[Deadbeat Predictive Current Control for High-Speed Permanent Magnet Synchronous Machine Drives With Low Switching-To-Fundamental Frequency Ratios]]>dq-frame model-based deadbeat predictive current control (DBPCC) methods for high-speed permanent magnet synchronous machine (PMSM) drives with low switching-to-fundamental frequency ratios (SFRs). It shows that the state-of-the-art compensation schemes of control delay and rotor movement effect can improve the control performance but the problem still arises at very high speeds with very low SFRs. Therefore, this article presents a novel DBPCC method for high-speed PMSM drives. The proposed method tracks the machine stator flux vector in the stationary frame to achieve deadbeat control of the dq-axis currents. The control delay and rotor movement effect are both precisely considered. Consequently, the control performance and stability of the proposed DBPCC can be guaranteed at high speeds. Extensive simulations and experiments have been performed on a prototype high-speed PMSM drive. The effectiveness of the proposed method and its superiorities against the field-oriented control and the conventional DBPCCs have all been demonstrated.]]>695451045213345<![CDATA[A Low-Complexity Gradient Descent Solution With Backtracking Iteration Approach for Finite Control Set Predictive Current Control]]>695452245336034<![CDATA[Sliding Mode Direct Torque Control of SPMSMs Based on a Hybrid Wolf Optimization Algorithm]]>695453445444448<![CDATA[Considering the Parameters of Pulse Width Modulation Voltage to Improve the Signal-to-Noise Ratio of Partial Discharge Tests for Inverter-Fed Motors]]>695454545544955<![CDATA[An Accurate Harmonic Current Suppression Strategy for DC-Biased Vernier Reluctance Machines Based on Adaptive Notch Filter]]>dq-axis and combined with ANF, thus harmonic currents are accurately extracted and analyzed. Furthermore, a phase-shift strategy is proposed for dc-biased VRMs, realizing precise compensation of harmonic voltages. The proposed ANF-based harmonic currents suppression strategy has a better performance in harmonic suppression and dynamic response and is suitable for a wider speed range in comparison with traditional harmonic suppression control strategy. What is more, the parameter design of the proposed method is easier compared with traditional method. Finally, the conclusions are verified by experimental results.]]>695455545655802<![CDATA[Minimum Field Current Increment Control for Doubly Salient Electro-Magnetic Generator With Improved Dynamic Performance]]>695456645753039<![CDATA[Parameters and Volt–Ampere Ratings of a Floating Capacitor Open-End Winding Synchronous Motor Drive for Extended CPSR]]>695457645863822<![CDATA[Communication/Model-Free Constant Current Control for Wireless Power Transfer Under Disturbances of Coupling Effect]]>695458745955776<![CDATA[Four-Port, Single-Stage, Multidirectional AC–AC Converter for Solid-State Transformer Applications]]>695459646066713<![CDATA[A Wireless Power Transfer System With Inverse Coupled Current Doubler Rectifier for High-Output Current Applications]]>695460746163755<![CDATA[A Passive Current Sharing Method for Multitransmitter Inductive Power Transfer Systems]]>N-TX (N$>$2) systems. Finally, a two-TX system is implemented to verify the sharing effect. The current imbalance factor is effectively reduced from 37% to 2.7% under the worst coupling cases.]]>695461746264530<![CDATA[Output-Controllable Efficiency-Optimized Wireless Power Transfer Using Hybrid Modulation]]>on-off keying (OOK) modulation and to utilize feedback control. Among them, PFM is used for the output voltage regulation of the inverter to adjust the rectified output voltage on the receiver side, while OOK modulation is adopted to convert the load resistance to be close to the optimal resistance value so that the system efficiency can be effectively optimized. When the relationship between the input and output voltages reaches a ratio related to system parameters, it can be considered that the load resistance has reached the optimal state. Hence, the feedback output voltage is utilized to help convert the load resistance into an optimal value and only one voltage acquisition circuit is needed. In this article, theoretical analysis and practical experimentation (using the LED lamp as a nonlinear load and the 102-Ω resistance as a linear load) are both given to verify that the proposed scheme can help to maintain high system efficiency during the output voltage regulation process.]]>695462746365393<![CDATA[A Current-Sharing Compensation Method for High-Power-Medium-Frequency Coils Composed of Multiple Branches Connected in Parallel]]>6954637465113864<![CDATA[Transient Mitigation Using an Auxiliary Circuit in Cascaded DC–DC Converter Systems With Virtual Impedance Control]]>695465246643340<![CDATA[Single-Stage Isolated AC-AC Converter Without Commutation Problem]]>rms prototype is implemented to verify the theoretical analysis and performance of the proposed converter. The California energy commission efficiency is 97.3%, the total harmonic distortion (THD) of the input current is 2.45% at full load, and the THD of the output voltage is 1.07% at full load.]]>695466546757001<![CDATA[An Optimal Structure for High Step-Up Nonisolated DC–DC Converters With Soft-Switching Capability and Zero Input Current Ripple]]>off and on under zero-current conditions. In the proposed structure, to regulate voltage gain, the extendable number of diode–capacitor voltage multiplier (DCVM) stages are combined with a coupled inductor. The voltage stresses across the semiconductors can be regulated by the number of the DCVM stages and the turns ratio of the coupled inductor. Thus, it provides two degrees of freedom for the designer to use low-rated semiconductors, which increases the converter efficiency. In this article, the performance of the proposed converter, in terms of voltage stress, voltage gain, and efficiency, has been analyzed, and a comprehensive comparison between the presented topology and other similar topologies presented. Finally, to verify the performance of the proposed topology, a 500 W (40 V/400 V) laboratory prototype has been developed and tested. The experimental results confirm its superiority and suitability.]]>695467646866043<![CDATA[MIMO Control of a High-Step-Up Isolated Bidirectional DC–DC Converter]]>695468746964229<![CDATA[Intrusion Detection, Measurement Correction, and Attack Localization of PMU Networks]]>N-1 contingency, several static state estimations are obtained by removing the measurements of one PMU in each time. The resulting state vectors are clustered in two steps: First, subtractive clustering is employed to obtain the number of clusters, which determines the number of integrity attacks; and second, fuzzy C-means clustering assigns the state vectors to the corresponding clusters, which determines the attacked PMUs. In addition, two theorems are proved, which indicate that the attacker cannot coordinate successful stealth attacks in cases that by removing attacked PMUs from state estimation, the power system still remains full observable. Furthermore, in the case of possible stealth attacks, the attacker cannot falsify the estimation of any arbitrary state variable. The hardware-in-the-loop results on a sample power system show that the proposed approach can detect integrity attacks, determine the number of attacks, obtain the correct state vector, and localize the attacks, even in case of multiple simultaneous attacks.]]>695469747061828<![CDATA[Design and Implementation of Wireless Power Transfer Systems With Improved Capacitor Error Tolerance]]>LCC-S compensated WPT systems. The worst-case scenarios (i.e., the maximum and minimum values of these indicators) are used to evaluate the effect of capacitor errors. They are calculated under detuned conditions with different inverter quality factors, load quality factors, and the ratios of the primary coil's self-inductance to the compensation inductance. Then, the design constraints are summarized to meet the system requirements considering ±10% capacitor errors. A simplified and easy-to-follow system design process is proposed and a 22-kW wireless charger for an electric bus is designed. Experimental results show that, compared with the traditional design, the change ratio of the output voltage of the proposed design is reduced from between −40.9% and 13.1% to between −21.5% and 12.4%. The lowest power factor is increased from 0.64 to 0.78, and the maximum drop in transfer efficiency is reduced from 9.9 to 5.9%.]]>695470747173309<![CDATA[A Wide-Range High-Voltage-Gain Bidirectional DC–DC Converter for V2G and G2V Hybrid EV Charger]]>695471847296510<![CDATA[Techno-Economic Model-Based Capacity Design Approach for Railway Power Conditioner-Based Energy Storage System]]>695473047414996<![CDATA[Topology Derivation of Multiple-Port DC–DC Converters Based on Voltage-Type Ports]]>695474247534705<![CDATA[Effects of Virtual Resistance on Transient Stability of Virtual Synchronous Generators Under Grid Voltage Sag]]>The virtual synchronous generator (VSG) control of a grid-connected converter is an attractive interfacing solution for high-penetration renewable generation systems. Unfortunately, the synchronous resonance can appear due to the power control loops, which are usually damped by adopting a virtual resistance (VR). However, the effects of VR on the transient stability of the VSG are rarely studied. In this article, a virtual point of common coupling and a virtual power angle concept are proposed to represent the mathematical model of the VSG with VR damping. Based on the model, the transient stability is further analyzed using the phase portrait and the attraction regions of the nonlinear system. It reveals that the VR has negative and different impacts on the transient stability compared with the real grid resistor. In order to keep the VSG with VR to work normally during the grid voltage sag, an enhanced transient stability method, by reducing the active power commands when the grid fault is detected, is introduced. A design-oriented analysis and the parameter design with different VRs are also presented. Finally, the theoretical analysis is verified by the experimental results.]]>695475447643822<![CDATA[An Improved Mechanical Sensorless Maximum Power Point Tracking Method for Permanent-Magnet Synchronous Generator-Based Small Wind Turbines Systems]]>695476547752988<![CDATA[Hybrid MVDC Circuit Breaker Based on Enhanced Arc Voltage of Vacuum Interrupter]]>di/dt before current zero are investigated in detail. Based on the calculation results, a 10 kV dc breaker prototype based on the proposed topology is developed with the breaking current of 15.5 kA. Finally, the application of the proposed scheme in HVdc grids is discussed.]]>695477647855811<![CDATA[An Interleaved ZVS High Step-Up Converter for Renewable Energy Systems Applications]]>on for the power MOSFETs and the leakage inductances of the magnetic means help to provide zero current switching of the diodes. In such a case, switching losses are minimized and the reverse current recovery is alleviated. Accordingly, the proposed converter with reduced counterparts is a suitable candidate for high step-up and high power applications. Finally, a 600-W prototype with 24 to 480 V voltage conversion is built to demonstrate the performance of the proposed converter.]]>695478648006908<![CDATA[Decoupled EPS Control Utilizing Magnetizing Current to Achieve Full Load Range ZVS for Dual Active Bridge Converters]]>695480148136589<![CDATA[Decentralized Robust Disturbance-Observer Based LFC of Interconnected Systems]]>695481448235027<![CDATA[Adaptive Solid-State Circuit Breaker Without Varistors in VSC-Interfaced DC System]]>695482448353076<![CDATA[Synchronverter-Based STATCOM With Voltage Imbalance Compensation Functionality]]>695483648444221<![CDATA[Two-Mode Active Balancing Circuit Based on Switched-Capacitor and Three-Resonant-State <italic>LC</italic> Units for Series-Connected Cell Strings]]>LC unit, and the energy is transferred from the highest voltage cell to the lowest voltage one, achieving the higher balancing efficiency and speed as well as accuracy when the voltage gap between cells is small. The operation state, balancing power, and balancing efficiency of each mode are analyzed in detail. The control strategy and design considerations of the balancing circuit are introduced to obtain the optimal balancing performance. Experimental results are provided to verify the validity of the proposed balancing circuit. The results show that the proposed balancing circuit achieves high balancing accuracy and efficiency as well as balancing speed.]]>695484548586424<![CDATA[Topology-Level Power Decoupling Three-Port Isolated Current-Fed Resonant DC-DC Converter]]>695485948683878<![CDATA[A Modular Multiport Converter to Integrate Multiple Solar Photo-Voltaic (PV) Modules With a Battery Storage System and a DC Microgrid]]>695486948782832<![CDATA[Multi-Port DC-AC Converter With Differential Power Processing DC-DC Converter and Flexible Power Control for Battery ESS Integrated PV Systems]]>695487948894567<![CDATA[Optimal Current Ripple PWM for Three-Level Inverter With Common Mode Voltage Reduction]]>695489049004422<![CDATA[A Cascaded Half-Bridge Three-Level Inverter With an Inductive DC-Link for Flexible Voltage Boosting]]>695490149136539<![CDATA[Air-Core-Transformer-Based Solid-State Fault-Current Limiter for Bidirectional HVdc Systems]]>695491449253171<![CDATA[A Generalized Voronoi Diagram-Based Efficient Heuristic Path Planning Method for RRTs in Mobile Robots]]>695492649373377<![CDATA[Development of an Optical Sensor Capable of Measuring Distance, Tilt, and Contact Force]]>695493849453994<![CDATA[A Reduced-Order Multisensor-Based Force Observer]]>695494649565169<![CDATA[Online Jumping Motion Generation via Model Predictive Control]]>695495749654185<![CDATA[Developing a Ball Screw Drive System of High-Speed Machine Tool Considering Dynamics]]>695496649763276<![CDATA[A Time-Specified Zeroing Neural Network for Quadratic Programming With Its Redundant Manipulator Application]]>695497749873850<![CDATA[A Flow-Limited Rate Control Scheme for the Master–Slave Hydraulic Manipulator]]>695498849984153<![CDATA[Gait Phase Classification for a Lower Limb Exoskeleton System Based on a Graph Convolutional Network Model]]>${rm {10}}{rm {% }}$, compared to LSTM and DCNN, which are usually at ${rm {70}}$–${rm {80}}{rm {% }}$. Finally, the GCNM's maximum accuracy of gait phase classification is ${rm {97}}{rm {.43% }}$; thus, the effectiveness of the proposed model is verified.]]>695499950084905<![CDATA[Free Response and Musical Pitch of Shape Memory Alloy Wires Under Voltage Loading]]>695500950174056<![CDATA[Secondary Eddy Current Losses Reduction in a Double-Sided Long-Primary Fractional Slot Concentrated Winding Permanent Magnet Linear Synchronous Motor]]>695501850298302<![CDATA[Active Load Sensitive Electro-Hydrostatic Actuator on More Electric Aircraft: Concept, Design, and Control]]>695503050405592<![CDATA[Comparison Investigations on Unclamped-Inductive-Switching Behaviors of Power GaN Switching Devices]]>on-state resistance due to the existence of inner Si device.]]>695504150494289<![CDATA[Development of a Hybrid Fault Current Limiter Using Liquid Metal for Large Capacity MVdc Power Systems]]>695505050594200<![CDATA[Hierarchical Antidisturbance Control of a Piezoelectric Stage via Combined Disturbance Observer and Error-Based ADRC]]>695506050703084<![CDATA[Frequency-Dependent Bearing Voltage Model for Squirrel-Cage Induction Motors]]>695507150803109<![CDATA[Advanced Contouring Compensation Approach via Newton-ILC and Adaptive Jerk Control for Biaxial Motion System]]>695508150901974<![CDATA[A Linear Piezoelectric Actuator Based on Working Principle of Three-Petal Mouth of a Rabbit]]>μm, and the velocity of the linear actuator can be smoothly adjusted in a wide range of 0.005–60.46 mm/s. In addition, the actuator can drive a hollow cylinder mover along different slopes without other auxiliary structures. The simulated and experimental results confirm that the proposed ring-shaped actuator is feasible without any guiding structure, which has great potential to realize further miniaturization of linear piezoelectric actuators.]]>695509150994214<![CDATA[Quantized Control Capable of Appointed-Time Performances for Quadrotor Attitude Tracking: Experimental Validation]]>695510051105101<![CDATA[Nonlinear Implementable Control of a Dual Active Bridge Series Resonant Converter]]>695511151212762<![CDATA[A Three-Sample Filter for Fast Arbitrary Harmonic Elimination]]>695512251314143<![CDATA[Hybrid Input Power Balancing Method of Modular Power Converters for High Efficiency, High Reliability, and Enhanced Dynamic Performance]]>695513251414502<![CDATA[Practical Realization of Implicit Homogeneous Controllers for Linearized Systems]]>$^{text{{{}}}}$ Servo 2 platform of Quanser$^text{{{{}}}}$. The obtained results for the state convergence are compared with other classical feedback controllers to validate the effectiveness of the proposed scheme. The comparative analysis of the state convergence provides evidence of the faster convergence for the state trajectory to a zone centered on the origin with a smaller hypervolume than the one gotten with the classical controllers.]]>695514251511855<![CDATA[Constraint-Based Adaptive Robust Control for Active Suspension Systems Under the Sky-Hook Model]]>695515251641359<![CDATA[Adaptive Fractional-Order Sliding Mode Control for Admittance-Based Telerobotic System With Optimized Order and Force Estimation]]>695516551742250<![CDATA[State-of-Charge Estimation of Lithium-Ion Batteries Subject to Random Sensor Data Unavailability: A Recursive Filtering Approach]]>695517551843346<![CDATA[High-Speed Searching of Optimum Switching Pattern for Digital Active Gate Drive to Adapt to Various Load Conditions]]>695518551944587<![CDATA[Controller Design of an Active Front-End Converter Keeping in Consideration Grid Dynamic Interaction]]>$dq$ synchronous reference frame.]]>695519552065257<![CDATA[A Generalized PID Interpretation for High-Order LADRC and Cascade LADRC for Servo Systems]]>695520752141702<![CDATA[Control Scheme for Rapidly Responding Register Controller Using Response Acceleration Input in Industrial Roll-To-Roll Manufacturing Systems]]>695521552242811<![CDATA[High Efficiency Thermoelectric Temperature Control System With Improved Proportional Integral Differential Algorithm Using Energy Feedback Technique]]>695522552344550<![CDATA[Uncertainty Management and Differential Model Decomposition for Fault Diagnosis and Prognosis]]>695523552467391<![CDATA[A Novel Industrial Chip Parameters Identification Method Based on Cascaded Region Segmentation for Surface-Mount Equipment]]>695524752564406<![CDATA[Time-Domain Frequency Estimation With Application to Fault Diagnosis of the Unmanned Aerial Vehicles’ Blade Damage]]>695525752661016<![CDATA[Bearing Fault Detection for Doubly fed Induction Generator Based on Stator Current]]>695526752762228<![CDATA[Evaluation Method for Feature Selection in Proton Exchange Membrane Fuel Cell Fault Diagnosis]]>695527752862774<![CDATA[Divergence Distance Based Index for Discriminating Inrush and Internal Fault Currents in Power Transformers]]>695528752942064<![CDATA[A Passive Field Conversion–Amplification Scheme: Demonstrated by Integrating a Magnetic Cantilever With a TMR for Current Monitoring]]>695529553032634<![CDATA[A Wafer-Level Vacuum Packaged MEMS Disk Resonator Gyroscope With 0.42°/h Bias Instability Within ±300°/s Full Scale]]>695530453135585<![CDATA[A Novel Multisensor Detection System Design for Low Concentrations of Volatile Organic Compounds]]>695531453242842<![CDATA[Generalized Nonoverlapping Tooth Coil Winding Method for Variable Reluctance Resolvers]]>695532553322581<![CDATA[Dynamic Coverage Control Based on <italic>K</italic>-Means]]>K-means. In the traditional coverage control, Voronoi partition method is used to assign the coverage positions for intelligent units. However, the Voronoi partition method requires that the space to be covered is compact and convex, and it is difficult to realize the coverage control of high-dimensional space. Therefore, in this article, we propose a dynamic coverage planning algorithm based on K-means, which relaxes the requirements on the coverage objects and can calculate the optimal coverage positions of the intelligent units. In addition, we also design a dynamic coverage control law based on discrete sliding mode control to drive the intelligent units to the optimal coverage positions. Through the combination of planning algorithm and control law, the optimal coverage control performance can be achieved for the specified targets and the specified area, which can be discrete, nonconvex, and high dimensional. The stability of the planning algorithm and the control law are proved by theoretical deduction. The effectiveness and superiority of the dynamic coverage control method are verified by two examples.]]>695533353411984<![CDATA[Learn to Navigate Autonomously Through Deep Reinforcement Learning]]>https://youtu.be/evjU6bOU3UY or OneDrive.]]>695534253523387<![CDATA[Kullback–Leibler-Divergence-Based Attacks Against Remote State Estimation in Cyber-Physical Systems]]>$(varepsilon,delta)$-stealthiness is utilized to characterize the stealthiness level, and the corrupted error covariance of the remote estimator is adopted to measure the attack performance. The aim is to design an offline stealthy attack strategy to maximize the attack performance. Different from the existing results, where the relationship between attack performance and system stability is not provided, we prove that the corrupted error covariance has an upper bound for stable systems and can be arbitrarily large for unstable systems. To maximize the attack effect under a given $(varepsilon,delta)$-stealthiness constraint, a nonconvex optimization problem is formulated. By applying convex analysis and monotonic optimization techniques, an upper bound of the attack performance is presented for stable systems. Subsequently, an $(varepsilon,delta)$-stealthy attack signal is constructed to achieve the upper bound. Finally, simulations on a stable numerical example and experiments on the permanent magnet synchronous machine monitoring system are performed to demonstrate the theoretical results.]]>695535353631654<![CDATA[D<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>C-Net: A Dual-Branch, Dual-Guidance and Cross-Refine Network for Camouflaged Object Detection]]>$^{2}$C-Net, which contains two new modules: Dual-branch features extraction (DFE) and gradually refined cross fusion (GRCF). Specifically, the DFE simulates the two-stage detection process of human visual mechanisms in observing camouflage scenes. For the first stage, a dense concatenation is employed to aggregate multilevel features and expand the receptive field. The first stage feature maps are then utilized to extract two-direction guidance information, which benefits the second stage. The GRCF consists of a self-refine attention unit and a cross-refinement unit, with the aim of combining the peer layer features and DFE features for an improved COD performance. The proposed framework outperforms 13 state-of-the-art deep learning-based methods upon three public datasets in terms of five widely used metrics. Finally, we show evidence for the successful applications of the proposed method in the fields of surface defect detection and medical image segmentation.]]>695536453744876<![CDATA[Improved Winding and Compensation Methods for the Multilayer Coil in IPT System]]>695537553802735<![CDATA[IEEE Industrial Electronics Society]]>695C3C342<![CDATA[Information for Authors]]>695C4C436