Yanhong Luo

According to our database1, Yanhong Luo authored at least 65 papers between 2001 and 2020.

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

Timeline

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Bibliography

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

A Novel Image Classification Approach via Dense-MobileNet Models.
Mob. Inf. 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

An Advanced Deep Residual Dense Network (DRDN) Approach for Image Super-Resolution.
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

Recovering Scale in Monocular DSO Using Multi-sensor Data.
Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019

Induction Radius-Based Hierarchical Flocking Algorithm for UAVs Clustering.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Event-Triggered Adaptive Control for Discrete-Time Zero-Sum Games.
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

A New Overvoltage Control Method Based on Active and Reactive Power Coupling.
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

Finite-horizon optimal control of unknown nonlinear time-delay systems.
Neurocomputing, 2017

Power Users Behavior Analysis and Application Based on Large Data.
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

Stability analysis of heuristic dynamic programming algorithm for nonlinear systems.
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

Application of BFNN in power flow calculation in smart distribution grid.
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

Distributed LQR design for multi-agent systems on directed graph topologies.
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

Adaptive optimal control for nonlinear discrete-time systems.
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

A simple synchronization criterion for a complex network based on the feedback.
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
A New Fuzzy Identification Method Based on Adaptive Critic Designs.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2001
Fusing force and vision feedback for manipulating deformable objects.
J. Field Robotics, 2001


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