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Article
Mathematics, Applied
Xiao-Heng Chang et al.
Summary: This paper investigates the observer-based quantized output feedback control for a kind of nonlinear discrete-time systems described by a Takagi-Sugeno (T-S) fuzzy model. An effective matrix inequality decoupling method is presented to handle the design of the controller, observer, and dynamic parameters of quantizers, showing that the design conditions can be synthesized synchronously. The resulting design ensures that the quantized closed-loop system meets the prescribed H-infinity performance, demonstrated by a mechanical motion system.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Engineering, Electrical & Electronic
Kai Ma et al.
Summary: This study establishes an optimization model for electric vehicles and battery charging/swapping stations, analyzing the charging behaviors and swapping strategies of different types of EVs, as well as considering voltage deviation in the power grid. The proposed strategy increases revenue for BCSS and ETs while reducing voltage deviation.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Kun Zhou et al.
Summary: This study proposed a new ensemble fuzzy-radial basis function neural network based on a multi-feature fusion strategy, showing satisfactory performance in pattern recognition of partial discharge. By reducing dimensionality and extracting features, utilizing statistical characteristics, and designing a two-branch RBFNN based on fuzzy rules, the network's recognition capability was enhanced for PD datasets.
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Nuray Vakitbilir et al.
Summary: This study aims to contribute to ongoing research on developing prediction models by testing different hybrid forecasting algorithms for short-term global horizontal irradiance (GHI) prediction in Kalkanli, Northern Cyprus.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Zhenxiong Wang et al.
Summary: This article proposes a straightforward but effective strategy for the active power control of two-stage photovoltaic inverters, using the voltage-control method to adjust the inverters' output power and match the load demand. It introduces reference power tracking instead of traditional maximum power point tracking and suggests mode detection and switch strategies to solve power shortage issues.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2022)
Article
Computer Science, Artificial Intelligence
Xiaotian Pan et al.
Summary: A four-objective optimal control method for EV charging and discharging schedules considering travel convenience is proposed to address the issues in the power grid. The experimental results verify the effectiveness of the proposed control strategy and optimization algorithm in meeting user needs.
APPLIED INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Ankur Rai et al.
Summary: The multi-area micro-grid system is a complex nonlinear system that requires strong and intelligent control methods for stability. By utilizing advanced optimization techniques to improve fuzzy controllers, the control effectiveness and stability of the system can be enhanced.
APPLIED INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Haohui Lu et al.
Summary: The study utilized real-world healthcare data and developed a model for predicting chronic diseases, specifically type 2 diabetes, by combining patient networks and machine learning methods to accurately assess the risk of developing such conditions.
APPLIED INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Gul Jabeen et al.
Summary: This study empirically examines the prediction of software vulnerabilities using machine learning and statistical techniques. The results show that machine learning techniques outperform statistical models in predicting software vulnerabilities.
APPLIED INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Md Mokammel Haque et al.
Summary: This paper proposes a rule-based machine learning technique using a sequential covering algorithm to classify driving maneuvers from time-series data. The method achieves unsupervised learning by selecting rules with the best performance and optimizing them through pruning based on performance testing.
APPLIED INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Behzad Ashtari et al.
Summary: This paper presents a two-level framework for the day-ahead energy management of microgrids, considering the uncertainties brought by renewable energy sources. The framework includes predicting load demand and weather conditions, scheduling microgrids, and optimizing power exchange rates using game theory. The results show that using a hybrid deep learning neural network approach leads to more accurate predictions and a reduction in operating costs. Additionally, the study reveals the importance of electrical energy storage systems in improving the operation of microgrids.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Engineering, Mechanical
Huawei Liu et al.
Summary: This paper discusses the finite-time bounded problem for stochastic nonlinear singular systems. A state observer independent of external disturbances and Brownian motions is designed, along with a sliding mode function that ensures both finite-time bounded stability and H-infinity performance of the system. Criteria for the finite-time bounded stability and H-infinity finite-time bounded stability are obtained using Lyapunov function and linear matrix inequalities. The designed controller guarantees the finite-time stability of the sliding mode function, and the practicality of the control scheme is verified through two examples.
NONLINEAR DYNAMICS
(2022)
Article
Engineering, Electrical & Electronic
M. Jagadeshwar et al.
Summary: This paper proposes an adaptive model predictive control strategy to operate the solar panel at the maximum power point (MPP), independent of panel characteristics. The proposed control scheme combines an adaptive model predictive controller (AMPC) and maximum power point tracking (MPPT) algorithm, specifically the incremental conductance algorithm, in a single loop. Therefore, the proposed controller can quickly adapt to fast changing environmental conditions.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING
(2022)
Article
Thermodynamics
Shunli Wang et al.
Summary: In this paper, an improved feedforward-long short-term memory (FF-LSTM) modeling method is proposed for accurate whole-life-cycle state of charge (SOC) prediction of lithium-ion batteries. The method effectively considers the variations in current, voltage, and temperature. Experimental tests show that the battery capacity reduces significantly over time.
Article
Energy & Fuels
Cheng Zhong et al.
Summary: This study proposes a DC-side synchronous active power control method for two-stage photovoltaic power generation without energy storage. The control strategy applies synchronous active power control to DC-DC converters while maintaining a constant DC-link voltage with the grid-tied inverter. A sensorless iterative maximum power estimation method is introduced and integrated into the DC-side virtual synchronous generator control strategy. Case studies on an islanded microgrid are conducted to validate the effectiveness and advantages of the control strategy, demonstrating improved frequency response and DC-link voltage stability under changing irradiance conditions.
Article
Green & Sustainable Science & Technology
Xiaomin Xu et al.
Summary: This paper constructs a hierarchical optimization model for distribution network planning under active management mode, considering the relationship among various factors from the perspective of distributed energy grid connection. The NSGA-TS hybrid algorithm is applied for algorithm optimization, and the experimental results show that the model has good performance in practical analysis, expanding the analysis idea of distribution network planning.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Engineering, Electrical & Electronic
Omer Faruk Ertugrul et al.
Summary: This study introduces a method based on recurrent linear regression for predicting the grid electrical energy load of a province or region. Comparing the results with LR and ELM methods on 59 different datasets, it was found that R-LR achieved lower errors and performed well in modeling dynamic systems and forecasting with time-series datasets.
ELECTRICAL ENGINEERING
(2021)
Article
Mathematics, Applied
Issam El Hamdi et al.
Summary: This paper investigates the robust second-moment stability of stochastic linear systems with varying delays, presenting a condition for checking system stability based on uncertain parameters within a polytope. Due to the difficulty in numerically checking the spectral radius, a randomized approach is proposed to improve the accuracy and practicality of stability verification. A real-time electronic application is used to demonstrate the potential benefits of the proposed method.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Mathematics, Applied
Yuling Liang et al.
Summary: This paper investigates guaranteed cost control (GCC) problem for nonlinear systems with input constraints and disturbances, proposing model-based and model-free algorithms utilizing reinforcement learning. Neural networks are used to approximate control inputs and value functions, with the Lyapunov's method applied to analyze system stability, and the effectiveness and feasibility of the methods are verified through two nonlinear simulation examples.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Thermodynamics
Mohamed Aatabe et al.
Summary: This paper presents a novel stochastic MPPT control for PV generators and investigates the impact of random loads on the stability and efficiency of PV generators. By converting the nonlinear PV generator model into a fuzzy model, the stability of the resulting system is characterized by linear matrix inequalities.
Review
Engineering, Electrical & Electronic
Le Ye et al.
Summary: This article discusses the main challenges of IoT chips and recent works aimed at IoT system design. In addition to important trends such as AI engines, low power and energy efficiency technologies, and energy harvesting methods can enhance the lifetime of AIoT devices.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2021)
Article
Engineering, Electrical & Electronic
Kunqian Liu et al.
Summary: The paper proposes a DeepBAN communication framework for dynamic WBANs, using deep learning approach for channel prediction and mobile edge computing to reduce response time. By applying joint power control, time-slot allocation, and relay selection algorithm, the system achieves maximum energy efficiency.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Yang Han et al.
Summary: Through dynamic droop coefficient correction control and hierarchical control scheme, the DC microgrid can achieve better power sharing and enhanced robustness. By adjusting the droop coefficient and using tertiary control level, arbitrary power sharing among microgrids can be achieved.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Mathematics, Applied
Dongji Wang et al.
Summary: This paper proposes a design of an H(infinity) load-frequency controller for power systems suffering from deception attacks, utilizing an event-triggered scheme and deriving sufficient conditions for system stability with the use of Lyapunov stability theory and inequality techniques.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Review
Energy & Fuels
Shunli Wang et al.
Summary: This article examines the application of deep learning algorithms in predicting the remaining useful life of lithium-ion batteries, proposing a high-accuracy deep learning algorithm to improve prediction accuracy and reduce feature testing time through analysis and comparison of different mathematical models.
Article
Computer Science, Interdisciplinary Applications
Xinhe Wang et al.
Summary: This paper discusses the stability, bifurcation, and chaos of the discrete pair epidemic model on adaptive networks, focusing on the disease free equilibrium and endemic equilibrium with respect to the basic reproduction number R-0. Results show that as the time step-size increases, flip bifurcation occurs at the endemic equilibrium, leading to period-doubling bifurcation and chaos phenomenon in the system. The study concludes that the dynamical behaviors of the discrete model are diverse and significantly different from the continuous model.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2021)
Review
Green & Sustainable Science & Technology
A. Rosini et al.
Summary: This paper reviews the approaches developed to solve the primary voltage control and reactive power sharing problem among converter interfaced production units in a microgrid, with a focus on communication-less methods. The comparison of communication-less approaches reveals that the new methods are improvements to traditional droop techniques, but network configuration and parameters significantly impact method performance, making it challenging to rank them uniformly.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Computer Science, Information Systems
Yazhe Mao et al.
Summary: The study proposed a method for controlling an MG group based on deep learning, aiming to achieve economic operation of the power grid by adjusting energy output and load status. Simulation on the MATLAB platform showed the effectiveness of this method, with higher income and minimum carbon emissions compared to other methods.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2021)
Article
Computer Science, Information Systems
Marcin Wozniak et al.
Summary: The article introduces a new generation home environment control system based on 6G network communication standards, utilizing electronic modules, infrastructure, and fuzzy rules control model for efficient management of water flow, wind shield, security aspects, and carbon dioxide limitation.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
J. Dionisio Barros et al.
Summary: In this work, a new backstepping predictive (BP) method is used to control a neutral point clamped-NPC converter connecting the DC and AC parts of a hybrid microgrid. The designed BP controller is able to regulate voltage and power, balance capacitor voltages, control currents, and enforce near unity power factor. Simulation and experimental results showed the effectiveness of the controller in power and voltage control for hybrid microgrids with renewable energy sources.
Article
Mathematics, Applied
Salman Ijaz et al.
Summary: This paper investigates a nonlinear control approach for high maneuvering fighter aircraft to maintain acceptable flight quality at high angles of attack. Adaptive control strategies are designed for two loops using real-time flight data to estimate aerodynamics coefficients.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Engineering, Electrical & Electronic
Vinicius P. Suppioni et al.
Summary: This paper introduces an adaptive solution to address voltage unbalances in microgrids, estimating unbalance levels and selecting the appropriate reference point for compensation to improve efficiency.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Masoud Davari et al.
Summary: This article introduces a faulty-signal-tolerant control method for grid-connected voltage-source inverters based on a sliding mode faulty signal rectifier. By rectifying faulty signals and incorporating adaptive mechanisms, the proposed control method offers resilient performance and robustness, effectively handling faulty signals from any source.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Keywan Mohammadi et al.
Summary: This paper introduces a distributed secondary voltage and frequency control scheme for an islanded AC microgrid under event-triggered communication, which is able to handle the consensus problem in case of asynchronous communication. Under this scheme, each distributed generator can independently check its triggering condition without the need to synchronize to a common clock, leading to an efficient reduction in communication rate.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Chaojie Li et al.
Summary: With the rise of Electric Vehicles (EVs), the optimal planning of charging stations has become crucial. This study proposes a market-based mechanism and game model for charger planning, showing its effectiveness through experiments.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Electrical & Electronic
Faa-Jeng Lin et al.
Summary: This study proposed a new voltage stabilization control method using the AMFWPFNN controller to address the voltage issues of storage systems during grid mode transitions or power variations. Through the study of Cimei Island and the hardware in the loop mechanism experiment, the effectiveness of the proposed method was confirmed.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Green & Sustainable Science & Technology
Oluleke Babayomi et al.
Summary: This paper presents a new method to improve the robustness of MPC to filter parameter variations/mismatches by easily implementable parameter estimation. By extending the technique with novel neuro-fuzzy estimation, the results show a steady-state parameter estimation accuracy of 95% and at least 20% improvement in total harmonic distortion compared to conventional non-adaptive MPC under parameter mismatches up to 50% of the nominal values.
Article
Computer Science, Information Systems
Karam Kumar Sahoo et al.
Summary: The paper proposes the TLEFuzzyNet model, a three-stage pipeline for emotion recognition in speech, achieving state-of-the-art performance and providing a dependable framework for Speech Emotion Recognition (SER).
Article
Automation & Control Systems
Mohamed Ghazzali et al.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2020)
Article
Computer Science, Artificial Intelligence
Hongbiao Zhou et al.
APPLIED INTELLIGENCE
(2020)
Article
Energy & Fuels
Cheng- Chen et al.
Article
Energy & Fuels
Masoud Babaei et al.
JOURNAL OF ENERGY STORAGE
(2020)
Article
Thermodynamics
Prashant Singh et al.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2020)
Article
Engineering, Electrical & Electronic
Hadi Delavari et al.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2020)
Article
Engineering, Electrical & Electronic
Sasan Gholami et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2018)
