Dongsheng Yang

Orcid: 0000-0003-1262-5975

Affiliations:
  • Northeastern University, School of Information Science and Engineering, Shenyang, China (PhD 2007)


According to our database1, Dongsheng Yang authored at least 79 papers between 2006 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Back-propagation-based multivariate state estimation technique: A lightweight adaptive condition monitoring approach for wind turbine.
Neurocomputing, 2025

Cooperative output regulation problem with faults based on adaptive event-triggered mechanism.
Neurocomputing, 2025

2024
Synchronous Position-Attitude Loop Regulation-Based Distributed Optimal Trajectory Tracking Control for Multi-UAVs Formation With External Disturbances.
IEEE Trans. Syst. Man Cybern. Syst., December, 2024

Genetic algorithm-based secure cooperative control for high-order nonlinear multi-agent systems with unknown dynamics.
J. Cloud Comput., December, 2024

An ATC-SPWM Method to Solve the Soft-Switching Failure Problem of Resonant DC Link Inverter Based on FPGA.
IEEE Trans. Ind. Electron., October, 2024

An Improved Resonant DC-Link Inverter to Reduce Switch Current Stress.
IEEE Trans. Ind. Electron., September, 2024

Event-Triggered Privacy Preservation Consensus Control and Containment Control for Nonlinear MASs: An Output Mask Approach.
IEEE Trans. Syst. Man Cybern. Syst., July, 2024

Dynamic Event-Based Tracking Control of Boiler Turbine Systems With Guaranteed Performance.
IEEE Trans Autom. Sci. Eng., July, 2024

Optimal Scheduling of Micro-Energy Grid Based on Pareto Frontier Under Uncertainty and Pollutant Emissions.
IEEE Trans. Smart Grid, January, 2024

Opposition-based differential evolution for synchronized control of multi-agent systems with uncertain nonlinear dynamics.
Appl. Soft Comput., January, 2024

Particle swarm optimization based leader-follower cooperative control in multi-agent systems.
Appl. Soft Comput., January, 2024

Fully distributed adaptive event-triggered bipartite containment control of linear multiagent systems with actuator faults.
Inf. Sci., 2024

A novel community development algorithm and its application to optimize main steam temperature of supercritical units.
Expert Syst. Appl., 2024

Designing adaptive continuous event-triggered consensus protocol for nonlinear multi-agent systems with a nonautonomous leader.
Appl. Math. Comput., 2024

2023
Filter-wrapper combined feature selection and adaboost-weighted broad learning system for transformer fault diagnosis under imbalanced samples.
Neurocomputing, December, 2023

Time-Series Transfer Learning: An Early Stage Imbalance Fault Detection Method Based on Feature Enhancement and Improved Support Vector Data Description.
IEEE Trans. Ind. Electron., August, 2023

Optimal Operation Strategy of Combined Heat and Power System Considering Demand Response and Household Thermal Inertia.
IEEE Trans. Consumer Electron., August, 2023

Elite and dynamic opposite learning enhanced sine cosine algorithm for application to plat-fin heat exchangers design problem.
Neural Comput. Appl., June, 2023

Adaptive Secure Practical Fault-Tolerant Output Regulation of Multiagent Systems With DoS Attacks by Asynchronous Communications.
IEEE Trans. Netw. Sci. Eng., 2023

A Topology-Reconfigurable Fault-Tolerant Two-and-Single Stage AC-DC Converter for High Reliability Applications.
IEEE Trans. Ind. Electron., 2023

A Distributed Self-Consistent Control Method for Electric Vehicles to Coordinate Low-Carbon Transportation and Energy.
IEEE CAA J. Autom. Sinica, 2023

Convolutional sparse filter with data and mechanism fusion: A few-shot fault diagnosis method for power transformer.
Eng. Appl. Artif. Intell., 2023

A Learned Cache Eviction Framework with Minimal Overhead.
CoRR, 2023

Prioritized experience replay based reinforcement learning for adaptive tracking control of autonomous underwater vehicle.
Appl. Math. Comput., 2023

A survey of intelligent transmission line inspection based on unmanned aerial vehicle.
Artif. Intell. Rev., 2023

2022
A Topology-Reconfigurable LLC Resonant Converter for Wide Output Range Applications.
IEEE Trans. Veh. Technol., 2022

Topology Prediction and Structural Controllability Analysis of Complex Networks Without Connection Information.
IEEE Trans. Syst. Man Cybern. Syst., 2022

A Novel Double-Stacked Autoencoder for Power Transformers DGA Signals With An Imbalanced Data Structure.
IEEE Trans. Ind. Electron., 2022

Event-Triggered Control of Nonlinear Discrete-Time System With Unknown Dynamics Based on HDP(λ).
IEEE Trans. Cybern., 2022

Critical Vertex Identification and Suppression Strategies of Excess Carrying Failure.
IEEE Syst. J., 2022

Hidden features extraction and amplification based on eigenvalue imaging and gray-level grouping for bearing fault diagnosis.
Int. J. Mach. Learn. Cybern., 2022

Dynamic opposite learning enhanced dragonfly algorithm for solving large-scale flexible job shop scheduling problem.
Knowl. Based Syst., 2022

2021
State-Constraints Adaptive Backstepping Control for Active Magnetic Bearings With Parameters Nonstationarities and Uncertainties.
IEEE Trans. Ind. Electron., 2021

Consensus-Based Decentralized Optimization for Distributed Generators Power Allocation Over Time-Varying Digraphs in Microgrids.
IEEE Syst. J., 2021

Adaptive synchronization of complex dynamic networks with switching parameters subject to state constraints in power system.
J. Frankl. Inst., 2021

A new recognition algorithm for high-voltage lines based on improved LSD and convolutional neural networks.
IET Image Process., 2021

Identification and detection algorithm of electric energy disturbance in microgrid based on wavelet analysis and neural network.
EURASIP J. Wirel. Commun. Netw., 2021

Job Shop Scheduling Based on Digital Twin Technology: A Survey and an Intelligent Platform.
Complex., 2021

Displacement Estimation of Self-Sensing Magnetic Bearings Based on Biorthogonal Spline Wavelet.
IEEE Access, 2021

Sparrow Search Algorithm for Solving Flexible Jobshop Scheduling Problem.
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

Application of Sparse Representation in SCADA: Wind Turbine Fault Diagnosis Based on K-SVD.
Proceedings of the CAA Symposium on Fault Detection, 2021

2020
A new robust adaptive neural network backstepping control for single machine infinite power system with TCSC.
IEEE CAA J. Autom. Sinica, January, 2020

Event-Triggered Integral Sliding-Mode Control for Nonlinear Constrained-Input Systems With Disturbances via Adaptive Dynamic Programming.
IEEE Trans. Syst. Man Cybern. Syst., 2020

An Event-Driven Convolutional Neural Architecture for Non-Intrusive Load Monitoring of Residential Appliance.
IEEE Trans. Consumer Electron., 2020

Critical Nodes Identification of Complex Power Systems Based on Electric Cactus Structure.
IEEE Syst. J., 2020

Improving the Performance of Whale Optimization Algorithm through OpenCL-Based FPGA Accelerator.
Complex., 2020

Low Carbon Multi-Objective Unit Commitment Integrating Renewable Generations.
IEEE Access, 2020

Multi-objective optimization Model for Flexible Job Shop Scheduling Problem Considering Transportation Constraints: A Comparative Study.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Fault Diagnosis for Energy Internet Using Correlation Processing-Based Convolutional Neural Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Synchronization of Uncertain Complex Dynamical Networks.
Int. J. Softw. Eng. Knowl. Eng., 2019

Event-trigger-based robust control for nonlinear constrained-input systems using reinforcement learning method.
Neurocomputing, 2019

Wind Power Prediction Based on LSTM Networks and Nonparametric Kernel Density Estimation.
IEEE Access, 2019

PCB Layout Optimization of High-Frequency Inverter for Magnetic Coupled Resonance Wireless Power Transfer System.
IEEE Access, 2019

Weak Fault Diagnosis Method Based on SEGAN and KL Divergence for Industrial Equipment.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Recent Bio-inspired Algorithms for Solving Flexible Job Shop Scheduling Problem: A Comparative Study.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

2018
Multimode Process Monitoring Based on Geodesic Distance.
Int. J. Softw. Eng. Knowl. Eng., 2018

An Approach for Feature Extraction and Diagnosis of Motor Rotor Bearing Based on Convolution Neural Network.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

A New Overvoltage Control Method Based on Active and Reactive Power Coupling.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Transmission Line Fault Diagnosis Based on Wavelet Packet Analysis and Convolutional Neural Network.
Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018

Planning of Distribution Network with Electric Vehicle Charging Stations.
Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018

2017
Observer-based state estimation of discrete-time nonlinear systems via a novel maximum-priority-based fuzzy observer.
Signal Process., 2017

Weather prediction with multiclass support vector machines in the fault detection of photovoltaic system.
IEEE CAA J. Autom. Sinica, 2017

A multi-object optimization model of electricity fee payment site selection based on multiple payment methods.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Power Users Behavior Analysis and Application Based on Large Data.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Batch Process Fault Monitoring Based on LPGD-kNN and Its Applications in Semiconductor Industry.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Study on uninterrupted switching topology and its control strategy of voltage sag protection.
Proceedings of the 2017 IEEE Industry Applications Society Annual Meeting, 2017

2016
Relaxed H<sub>∞</sub> control design of discrete-time Takagi-Sugeno fuzzy systems: A multi-samples approach.
Neurocomputing, 2016

2015
A Novel T-S Fuzzy Model Based Adaptive Synchronization Control Scheme for Nonlinear Large-Scale Systems with Uncertainties and Time-Delay.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

2014
Observer Design of Discrete-Time T-S Fuzzy Systems Via Multi-Instant Homogenous Matrix Polynomials.
IEEE Trans. Fuzzy Syst., 2014

Relaxed observer design of discrete-time T-S fuzzy systems via a novel multi-instant fuzzy observer.
Signal Process., 2014

2013
State estimation of recurrent neural networks with interval time-varying delay: an improved delay-dependent approach.
Neural Comput. Appl., 2013

Adaptation Phase-Locked Loop Speed and Neuron PI Torque Control of Permanent Magnet Synchronous Motor.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Local stability analysis of high-order recurrent neural networks with multi-step piecewise linear activation functions.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

2012
New Robust H ∞ Fuzzy Control for the Interconnected Bilinear Systems Subject to Actuator Saturation.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

2010
Networked Synchronization Control of Coupled Dynamic Networks With Time-Varying Delay.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Near-optimal control laws based on Heuristic Dynamic Programming iteration algorithm.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010

Greedy iterative DHP algorithm-based near-optimal control for a class of nonlinear descriptor systems with actuator saturating.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009
The Sampling Synchronization of the Chaotic System with Different Structures Based on T-S Model.
Proceedings of the Web Information Systems and Mining, International Conference, 2009

2006
GFHM Model and Control for Uncertain Chaotic System.
Proceedings of the Computational Intelligence, 2006


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