Yanhong Luo
Orcid: 0000-0002-5947-0651
According to our database1,
Yanhong Luo
authored at least 87 papers
between 2001 and 2024.
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Bibliography
2024
A Novel Newton-Euler Method-Based Nonlinear Anti-Swing Control for a Quadrotor UAV Carrying a Slung Load.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024
Optimal Scheduling of Micro-Energy Grid Based on Pareto Frontier Under Uncertainty and Pollutant Emissions.
IEEE Trans. Smart Grid, January, 2024
Base on -Learning Pareto Optimality for Linear Itô Stochastic Systems With Markovian Jumps.
IEEE Trans Autom. Sci. Eng., January, 2024
2023
Mixed H<sub>2</sub>/H<sub>∞</sub> Control With Event-Triggered Mechanism for Nonlinear Stochastic Systems With Closed-Loop Stackelberg Games.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023
Dynamic Event-Based Control for Stochastic Optimal Regulation of Nonlinear Networked Control Systems.
IEEE Trans. Neural Networks Learn. Syst., October, 2023
Optimal Operation Strategy of Combined Heat and Power System Considering Demand Response and Household Thermal Inertia.
IEEE Trans. Consumer Electron., August, 2023
A novel adaptive two-stage approach to dynamic optimal path planning of UAV in 3-D unknown environments.
Multim. Tools Appl., May, 2023
A survey of intelligent transmission line inspection based on unmanned aerial vehicle.
Artif. Intell. Rev., 2023
2022
Dual Heuristic Programming for Optimal Control of Continuous-Time Nonlinear Systems Using Single Echo State Network.
IEEE Trans. Cybern., 2022
Adaptive Event-Triggered Leader-Follower Consensus of Linear Multiagent Systems Under Directed Graph With Nonzero Leader Input.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
Neurodynamic Programming and Tracking Control for Nonlinear Stochastic Systems by PI Algorithm.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
Predict DLBCL patients' recurrence within two years with Gaussian mixture model cluster oversampling and multi-kernel learning.
Comput. Methods Programs Biomed., 2022
Dynamic event-triggered distributed guaranteed cost FTC scheme for nonlinear interconnected systems via ADP approach.
Appl. Math. Comput., 2022
2021
Applying probability calibration to ensemble methods to predict 2-year mortality in patients with DLBCL.
BMC Medical Informatics Decis. Mak., 2021
A new recognition algorithm for high-voltage lines based on improved LSD and convolutional neural networks.
IET Image Process., 2021
Using machine learning methods to predict hepatic encephalopathy in cirrhotic patients with unbalanced data.
Comput. Methods Programs Biomed., 2021
Comput. Intell. Neurosci., 2021
Comput. Intell. Neurosci., 2021
Probability calibration-based prediction of recurrence rate in patients with diffuse large B-cell lymphoma.
BioData Min., 2021
Appl. Math. Comput., 2021
Integral reinforcement learning-based guaranteed cost control for unknown nonlinear systems subject to input constraints and uncertainties.
Appl. Math. Comput., 2021
2020
Adaptive Dynamics Programming for H<sub>∞</sub> Control of Continuous-Time Unknown Nonlinear Systems via Generalized Fuzzy Hyperbolic Models.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Mob. Inf. Syst., 2020
Int. J. Comput. Intell. Syst., 2020
Classifying 2-year recurrence in patients with dlbcl using clinical variables with imbalanced data and machine learning methods.
Comput. Methods Programs Biomed., 2020
An improved deep learning approach and its applications on colonic polyp images detection.
BMC Medical Imaging, 2020
2019
Neural-Network-Based Robust Control Schemes for Nonlinear Multiplayer Systems With Uncertainties via Adaptive Dynamic Programming.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Event-Triggered Adaptive Dynamic Programming for Non-Zero-Sum Games of Unknown Nonlinear Systems via Generalized Fuzzy Hyperbolic Models.
IEEE Trans. Fuzzy Syst., 2019
Int. J. Comput. Intell. Syst., 2019
Image Object Recognition via Deep Feature-Based Adaptive Joint Sparse Representation.
Comput. Intell. Neurosci., 2019
Event-triggered single-network ADP method for constrained optimal tracking control of continuous-time non-linear systems.
Appl. Math. Comput., 2019
Wind Power Prediction Based on LSTM Networks and Nonparametric Kernel Density Estimation.
IEEE Access, 2019
Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Event-Triggered H∞ Tracking Control of Nonlinear Systems via Reinforcement Learning Method.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Finite-Horizon H<sub>∞</sub> Tracking Control for Unknown Nonlinear Systems With Saturating Actuators.
IEEE Trans. Neural Networks Learn. Syst., 2018
Stochastic linear quadratic optimal control for model-free discrete-time systems based on Q-learning algorithm.
Neurocomputing, 2018
Supplementary Frequency Control for Multi-machine Power System Based on Adaptive Dynamic Programming.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
2017
LQR-Based Optimal Distributed Cooperative Design for Linear Discrete-Time Multiagent Systems.
IEEE Trans. Neural Networks Learn. Syst., 2017
Data-Driven Optimal Consensus Control for Discrete-Time Multi-Agent Systems With Unknown Dynamics Using Reinforcement Learning Method.
IEEE Trans. Ind. Electron., 2017
General value iteration based reinforcement learning for solving optimal tracking control problem of continuous-time affine nonlinear systems.
Neurocomputing, 2017
H<sub>∞</sub> control with constrained input for completely unknown nonlinear systems using data-driven reinforcement learning method.
Neurocomputing, 2017
Neurocomputing, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
ADP based optimal tracking control for a class of linear discrete-time system with multiple delays.
J. Frankl. Inst., 2016
Infinite-time stochastic linear quadratic optimal control for unknown discrete-time systems using adaptive dynamic programming approach.
Neurocomputing, 2016
Neural network-based online H<sub>∞</sub> control for discrete-time affine nonlinear system using adaptive dynamic programming.
Neurocomputing, 2016
Optimal tracking control for completely unknown nonlinear discrete-time Markov jump systems using data-based reinforcement learning method.
Neurocomputing, 2016
Globally optimal distributed cooperative control for general linear multi-agent systems.
Neurocomputing, 2016
Online finite-horizon optimal learning algorithm for nonzero-sum games with partially unknown dynamics and constrained inputs.
Neurocomputing, 2016
2015
Leader-Based Optimal Coordination Control for the Consensus Problem of Multiagent Differential Games via Fuzzy Adaptive Dynamic Programming.
IEEE Trans. Fuzzy Syst., 2015
Online optimal control of unknown discrete-time nonlinear systems by using time-based adaptive dynamic programming.
Neurocomputing, 2015
Adaptive critic design-based robust neural network control for nonlinear distributed parameter systems with unknown dynamics.
Neurocomputing, 2015
Neurocomputing, 2015
Consensus rate regulation for general linear multi-agent systems under directed topology.
Appl. Math. Comput., 2015
2014
Online Adaptive Policy Learning Algorithm for H<sub>∞</sub> State Feedback Control of Unknown Affine Nonlinear Discrete-Time Systems.
IEEE Trans. Cybern., 2014
Neural-Network-Based Constrained Optimal Control Scheme for Discrete-Time Switched Nonlinear System Using Dual Heuristic Programming.
IEEE Trans Autom. Sci. Eng., 2014
Optimal tracking control of a class of nonlinear discrete-time switched systems using adaptive dynamic programming.
Neural Comput. Appl., 2014
Finite horizon optimal control of non-linear discrete-time switched systems using adaptive dynamic programming with ε-error bound.
Int. J. Syst. Sci., 2014
Model-free optimal control design for a class of linear discrete-time systems with multiple delays using adaptive dynamic programming.
Neurocomputing, 2014
Neurocomputing, 2014
Online optimal tracking control of continuous-time linear systems with unknown dynamics by using adaptive dynamic programming.
Int. J. Control, 2014
Model-free adaptive dynamic programming for online optimal solution of the unknown nonlinear zero-sum differential game.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
ADP-based optimal control for a class of nonlinear discrete-time systems with inequality constraints.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014
Adaptive dynamic programming for discrete-time LQR optimal tracking control problems with unknown dynamics.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014
An adaptive dynamic programming algorithm to solve optimal control of uncertain nonlinear systems.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014
2013
Near-Optimal Control for Nonzero-Sum Differential Games of Continuous-Time Nonlinear Systems Using Single-Network ADP.
IEEE Trans. Cybern., 2013
Optimal control for a class of nonlinear system with controller constraints based on finite-approximation-errors ADP algorithm.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013
2012
Infinite horizon optimal control of affine nonlinear discrete switched systems using two-stage approximate dynamic programming.
Int. J. Syst. Sci., 2012
Adaptive dynamic programming-based optimal control of unknown nonaffine nonlinear discrete-time systems with proof of convergence.
Neurocomputing, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Optimal control design for nonlinear systems: Adaptive dynamic programming based on fuzzy critic estimator.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2011
Data-Driven Robust Approximate Optimal Tracking Control for Unknown General Nonlinear Systems Using Adaptive Dynamic Programming Method.
IEEE Trans. Neural Networks, 2011
Global optimal strategies of a class of finite-horizon continuous-time nonaffine nonlinear zero-sum game using a new iteration algorithm.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
Data-based adaptive critic design for discrete-time zero-sum games using output feedback.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
2010
Optimal control laws for time-delay systems with saturating actuators based on heuristic dynamic programming.
Neurocomputing, 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
Neural-Network-Based Near-Optimal Control for a Class of Discrete-Time Affine Nonlinear Systems With Control Constraints.
IEEE Trans. Neural Networks, 2009
Robust adaptive tracking controller design for non-affine non-linear systems with state time-varying delay and unknown dead-zone.
Int. J. Intell. Syst. Technol. Appl., 2009
H<sub>infinity</sub> control for T-S fuzzy neutral systems with time-varying delays and actuator saturation.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2008
A Novel Infinite-Time Optimal Tracking Control Scheme for a Class of Discrete-Time Nonlinear Systems via the Greedy HDP Iteration Algorithm.
IEEE Trans. Syst. Man Cybern. Part B, 2008
2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
2001
J. Field Robotics, 2001