Biao Luo

According to our database, Biao Luo authored at least 127 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Physics-informed stochastic configuration network promoted model predictive control with multi-objective optimization.

Lei Xu, Chunhua Yang, Xiaodong Xu, Biao Luo, Tingwen Huang

Artif. Intell. Rev., September, 2025

HIAT: human-in-the-loop reinforcement learning with auxiliary task.

Bo Niu, Biao Luo, Yongzheng Cui, Xiaodong Xu, Yuqian Zhao, Yu Feng

Artif. Intell. Rev., September, 2025

Adaptive Boundary Control for Synchronization of Reaction-Diffusion Neural Networks With Random Time-Varying Delay.

Xu Zhang, Biao Luo, Zi-Peng Wang, Xiaodong Xu, Chunhua Yang

IEEE Trans. Neural Networks Learn. Syst., August, 2025

A Nonlinear Noise-Resistant Zeroing Neural Network Model for Solving Time-Varying Quaternion Generalized Lyapunov Equation and Applications to Color Image Processing.

Lin Xiao, Xiangru Yan, Yongjun He, Biao Luo, Qiya Song

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Adaptive Robust Attitude Control for Multiple Quadrotor Systems via Integral Reinforcement Learning.

Yuhao Zhou, Biao Luo, Xiaodong Xu, Chunhua Yang

IEEE Trans. Aerosp. Electron. Syst., August, 2025

Dynamic Event-Triggered Control for Hierarchical Differential Games.

Shan Xue, Biao Luo, Weidong Zhang, Derong Liu

IEEE Trans. Circuits Syst. I Regul. Pap., July, 2025

Multi-UAV Cooperative Pursuit Strategy with Limited Visual Field in Urban Airspace: A Multi-Agent Reinforcement Learning Approach.

Zhe Peng, Guohua Wu, Biao Luo, Ling Wang

IEEE CAA J. Autom. Sinica, July, 2025

A Hybrid Adaptive Dynamic Programming for Optimal Tracking Control of USVs.

Shan Xue, Ning Zhao, Weidong Zhang, Biao Luo, Derong Liu

IEEE Trans. Neural Networks Learn. Syst., June, 2025

Cognition-Oriented Multiagent Reinforcement Learning.

Tenghai Qiu, Shiguang Wu, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Yuqian Zhao, Biao Luo

IEEE Trans. Neural Networks Learn. Syst., June, 2025

Consensus of Nonlinear Uncertain Delayed Multiagent Systems Modeled by PDEs via Adaptive Boundary Control.

Xu Zhang, Biao Luo, Zipeng Wang, Xiaodong Xu, Chunhua Yang

IEEE Trans. Cybern., June, 2025

Dynamic Self-Triggered Control for Nonzero-Sum Games of Unknown Nonlinear Constrained Systems via Generalized Fuzzy Hyperbolic Models.

Fan Liu, Hanguang Su, Huaguang Zhang, Biao Luo, Jiawei Wang

IEEE Trans. Syst. Man Cybern. Syst., May, 2025

Integral Reinforcement Learning-Based Dynamic Event-Triggered Nonzero-Sum Games of USVs.

Shan Xue, Weidong Zhang, Biao Luo, Derong Liu

IEEE Trans. Cybern., April, 2025

Adaptive Neural Consensus Observer Networks Design for a Class of Semilinear Parabolic PDE Systems.

Mingxing Cai, Yuan Yuan, Biao Luo, Fanbiao Li, Xiaodong Xu, Chunhua Yang, Weihua Gui

IEEE Trans. Neural Networks Learn. Syst., March, 2025

Optimal Performance Guaranteed Motion Control for Libration Point Orbit Rendezvous: A Semianalytical Predictive Approach.

Caisheng Wei, Guanhua Huang, Zeyang Yin, Biao Luo, Yong Xu

IEEE Trans. Control. Syst. Technol., March, 2025

Consensus of Double-Integrator Multiagent Systems Under Disturbances: Two Types of PI-Based Protocols.

Wenfeng Hu, Yulong Jiang, Biao Luo, Tingwen Huang

IEEE Syst. J., March, 2025

Thinking Before Decision: Efficient Interactive Visual Navigation Based on Local Accessibility Prediction.

Qinrui Liu, Biao Luo, Dongbo Zhang, Renjie Chen

IEEE Robotics Autom. Lett., February, 2025

Composite Learning Based Adaptive Control of Linear 2 × 2 Hyperbolic PDE Systems.

Yu Xiao, Yun Feng, Biao Luo, Han-Xiong Li, Xiaodong Xu

IEEE Trans. Cybern., January, 2025

Reinforcement Learned Multiagent Cooperative Navigation in Hybrid Environment With Relational Graph Learning.

Wen Ou, Biao Luo, Xiaodong Xu, Yu Feng, Yuqian Zhao

IEEE Trans. Artif. Intell., January, 2025

Adaptive Event-Triggered Output Synchronization of Heterogeneous Multiagent Systems: A Model-Free Reinforcement Learning Approach.

Wenfeng Hu, Xuan Wang, Meichen Guo, Biao Luo, Tingwen Huang

IEEE Trans. Signal Inf. Process. over Networks, 2025

Simultaneous Data Reconciliation and Gross Error Detection Based on Denoising Autoencoder.

Hong Yang, Yuan Yuan, Zhisheng Chen, Xiaodong Xu, Biao Luo

IEEE Trans. Instrum. Meas., 2025

Reinforcement Learning-Based 3D Trajectory Tracking Control of Hypersonic Gliding Vehicles With Time-Varying Uncertainties.

Biao Luo, Jingyi Sun, Rui Tang, Xiaodong Xu

IEEE Trans Autom. Sci. Eng., 2025

Offline reward shaping with scaling human preference feedback for deep reinforcement learning.

Jinfeng Li, Biao Luo, Xiaodong Xu, Tingwen Huang

Neural Networks, 2025

Pinning boundary sampled-data synchronization of coupled reaction-diffusion neural networks.

Zi-Peng Wang, Bo-Ming Chen, Junfei Qiao, Biao Luo, Huai-Ning Wu, Tingwen Huang, Guangwei Chen

Neurocomputing, 2025

Auto-tuning strategy for deep Koopman robust model predictive control design based on advanced Metaheuristics.

Zijia Meng, Yu Xiao, Xiaodong Xu, Biao Luo, Yuncheng Du, Weihua Gui

Neurocomputing, 2025

Event-triggered H∞ control for highly dissipative spatiotemporal process via ADP: Application to industrial sintering process.

Binyan Li, Jiayuan Gao, Ning Chen, Biao Luo, Shaosheng Fan, Jiayao Chen, Weihua Gui

Neurocomputing, 2025

CSFIN: A lightweight network for camouflaged object detection via cross-stage feature interaction.

Minghong Li, Yuqian Zhao, Fan Zhang, Gui Gui, Biao Luo, Chunhua Yang, Weihua Gui, Kan Chang

Expert Syst. Appl., 2025

Adaptive neural boundary control for multi-agent manipulators system with uncertainties through cooperative disturbance observers network.

Zhibo Zhao, Yuan Yuan, Xiaodong Xu, Biao Luo, Tingwen Huang

Eng. Appl. Artif. Intell., 2025

2024

SMONAC: Supervised Multiobjective Negative Actor-Critic for Sequential Recommendation.

Fei Zhou, Biao Luo, Zhengke Wu, Tingwen Huang

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Human-in-the-Loop Reinforcement Learning in Continuous-Action Space.

Biao Luo, Zhengke Wu, Fei Zhou, Bing-Chuan Wang

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Decentralized Multiagent Reinforcement Learning Based State-of-Charge Balancing Strategy for Distributed Energy Storage System.

Zheng Xiong, Biao Luo, Bing-Chuan Wang, Xiaodong Xu, Xiaodong Liu, Tingwen Huang

IEEE Trans. Ind. Informatics, October, 2024

Model-Based Safe Reinforcement Learning With Time-Varying Constraints: Applications to Intelligent Vehicles.

Xinglong Zhang, Yaoqian Peng, Biao Luo, Wei Pan, Xin Xu, Haibin Xie

IEEE Trans. Ind. Electron., October, 2024

Neural Network-Based Robust Guaranteed Cost Control for Image-Based Visual Servoing of Quadrotor.

Xinning Yi, Biao Luo, Yuqian Zhao

IEEE Trans. Neural Networks Learn. Syst., September, 2024

RL-Based Adaptive Optimal Bipartite Consensus Control for Nonlinear Heterogeneous MASs via Event-Triggered State Feedback.

Yuhao Zhou, Biao Luo, Xin Wang, Xiaodong Xu, Lin Xiao

IEEE Trans. Circuits Syst. I Regul. Pap., September, 2024

ADP-Based Decentralized Controller Design for Nonlinear Time-Delay Interconnected Systems.

Ning Chen, Zeng Luo, Binyan Li, Biao Luo, Jiayao Chen, Chunhua Yang, Weihua Gui

IEEE Trans. Syst. Man Cybern. Syst., August, 2024

A Novel Zeroing Neurodynamic Method Based on Discrete Fuzzy Control System: Design, Analysis, and Verification.

Lei Jia, Lin Xiao, Yaonan Wang, Jianhua Dai, Biao Luo

IEEE Trans. Fuzzy Syst., August, 2024

Predefined-Time Zeroing Neural Networks With Independent Prior Parameter for Solving Time-Varying Plural Lyapunov Tensor Equation.

Zhaohui Qi, Yingqiang Ning, Lin Xiao, Yongjun He, Jiajie Luo, Biao Luo

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Hierarchical reinforcement learning for handling sparse rewards in multi-goal navigation.

Jiangyue Yan, Biao Luo, Xiaodong Xu

Artif. Intell. Rev., June, 2024

Concurrent Learning Robust Adaptive Fault Tolerant Boundary Regulation of Hyperbolic Distributed Parameter Systems.

Yuan Yuan, Xiaodong Xu, Chunhua Yang, Biao Luo, Stevan Dubljevic

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Event-Triggered Neuro-Adaptive Fixed-Time Control for Nonlinear Switched and Constrained Systems: An Initial Condition-Independent Method.

Xin Wang, Yuhao Zhou, Biao Luo, Yushuai Li, Tingwen Huang

IEEE Trans. Circuits Syst. I Regul. Pap., May, 2024

Adaptive Neural Network-Based Event-Triggered SOC Observer With Application to a Stochastic Battery Model.

Chenyang Pan, Zhaoxia Peng, Shichun Yang, Guoguang Wen, Biao Luo, Tingwen Huang

IEEE Trans. Neural Networks Learn. Syst., April, 2024

ADP-Based Event-Triggered Constrained Optimal Control on Spatiotemporal Process: Application to Temperature Field in Roller Kiln.

Binyan Li, Ning Chen, Biao Luo, Jiayao Chen, Chunhua Yang, Weihua Gui

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Boundary Optimal Control for Parabolic Distributed Parameter Systems With Value Iteration.

Jingyi Sun, Biao Luo, Xiaodong Xu, Chunhua Yang

IEEE Trans. Cybern., March, 2024

Adaptive Distributed Boundary Vibration Control of Multiagent Euler-Bernoulli Beams via Cooperative Disturbance Observer Network.

Zhibo Zhao, Yuan Yuan, Yu Xiao, Biao Luo, Xiaodong Xu, Weihua Gui, Chunhua Yang, Tingwen Huang

IEEE Syst. J., March, 2024

Adaptive Neural Tracking Control of a Class of Hyperbolic PDE With Uncertain Actuator Dynamics.

Yu Xiao, Yuan Yuan, Chunhua Yang, Biao Luo, Xiaodong Xu, Stevan Dubljevic

IEEE Trans. Cybern., February, 2024

Multi-scale feature selection network for lightweight image super-resolution.

Minghong Li, Yuqian Zhao, Fan Zhang, Biao Luo, Chunhua Yang, Weihua Gui, Kan Chang

Neural Networks, January, 2024

Adaptive, Fuzzy Boundary Observer for a Class of Euler-Bernoulli Beam Systems With Uncertainties.

Ruixin Wu, Yu Xiao, Biao Luo, Xiaodong Xu, Chunhua Yang, Tingwen Huang

IEEE Trans. Instrum. Meas., 2024

Data-Driven Plant-Model Mismatch Detection for Closed-Loop LPV System Based on Instrumental Variable Using Sum-of-Norms Regularization.

Yimiao Shi, Yuan Yuan, Biao Luo, Fanbiao Li, Xiaodong Xu, Chunhua Yang

IEEE Trans. Instrum. Meas., 2024

Neural operators for robust output regulation of hyperbolic PDEs.

Yu Xiao, Yuan Yuan, Biao Luo, Xiaodong Xu

Neural Networks, 2024

Modular hierarchical reinforcement learning for multi-destination navigation in hybrid crowds.

Wen Ou, Biao Luo, Bingchuan Wang, Yuqian Zhao

Neural Networks, 2024

Concurrent learning adaptive boundary observer design for linear coupled hyperbolic partial differential equation systems.

Linbin Teng, Yuan Yuan, Xiaodong Xu, Chunhua Yang, Biao Luo, Stevan Dubljevic, Tingwen Huang

Knowl. Based Syst., 2024

Object detection on low-resolution images with two-stage enhancement.

Minghong Li, Yuqian Zhao, Gui Gui, Fan Zhang, Biao Luo, Chunhua Yang, Weihua Gui, Kan Chang, Hui Wang

Knowl. Based Syst., 2024

Exploring heterophily in calibration of graph neural networks.

Xiaotian Xie, Biao Luo, Yingjie Li, Chunhua Yang, Weihua Gui

Neurocomputing, 2024

Pursuit-Evasion Game With Asymmetric Information.

Danjie Yang, Yu Feng, Yongqiang Li, Biao Luo

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning.

Tianmeng Hu, Biao Luo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Adaptive dynamic programming based composite control for profile tracking with multiple constraints.

Rui Tang, Biao Luo, Yuxin Liao

Neurocomputing, November, 2023

Pinning Spatiotemporal Sampled-Data Synchronization of Coupled Reaction-Diffusion Neural Networks Under Deception Attacks.

Zipeng Wang, Qian-Qian Li, Huai-Ning Wu, Biao Luo, Tingwen Huang

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Adaptive Fuzzy Boundary Observer Design for Uncertain Linear Coupled Hyperbolic Partial Differential Equation Systems.

Linbin Teng, Yuan Yuan, Biao Luo, Chunhua Yang, Stevan Dubljevic, Tingwen Huang, Xiaodong Xu

IEEE Trans. Fuzzy Syst., October, 2023

MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning.

Tianmeng Hu, Biao Luo, Chunhua Yang, Tingwen Huang

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

LJIR: Learning Joint-Action Intrinsic Reward in cooperative multi-agent reinforcement learning.

Zihan Chen, Biao Luo, Tianmeng Hu, Xiaodong Xu

Neural Networks, October, 2023

TSDTVOS: Target-guided spatiotemporal dual-stream transformers for video object segmentation.

Wei Zhou, Yuqian Zhao, Fan Zhang, Biao Luo, Lingli Yu, Baifan Chen, Chunhua Yang, Weihua Gui

Neurocomputing, October, 2023

Predictive hierarchical reinforcement learning for path-efficient mapless navigation with moving target.

Hanxiao Li, Biao Luo, Wei Song, Chunhua Yang

Neural Networks, August, 2023

Event-Triggered Optimal Control for Temperature Field of Roller Kiln Based on Adaptive Dynamic Programming.

Ning Chen, Binyan Li, Biao Luo, Weihua Gui, Chunhua Yang

IEEE Trans. Cybern., May, 2023

Guest Editorial Special Issue on Computational Intelligence to Edge AI for Ubiquitous IoT Systems.

Honghao Gao, Biao Luo, Ramón J. Durán Barroso, Walayat Hussain

IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

BASeg: Boundary aware semantic segmentation for autonomous driving.

Xiaoyang Xiao, Yuqian Zhao, Fan Zhang, Biao Luo, Ling-Li Yu, Baifan Chen, Chunhua Yang

Neural Networks, 2023

Decentralized Multi-agent Reinforcement Learning based State-of-Charge Balancing Strategy for Distributed Energy Storage System.

Zheng Xiong, Biao Luo, Bing-Chuan Wang, Xiaodong Xu, Xiaodong Liu, Tingwen Huang

CoRR, 2023

IMKGA-SM: Interpretable Multimodal Knowledge Graph Answer Prediction via Sequence Modeling.

Yilin Wen, Biao Luo, Yuqian Zhao

CoRR, 2023

Event-Triggered Constrained H_∞ Control Using Concurrent Learning and ADP.

Shan Xue, Biao Luo, Derong Liu, Dongsheng Guo

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Mitigation of Voltage Violation for Battery Fast Charging Based on Data-Driven Optimization.

Zheng Xiong, Biao Luo, Bing-Chuan Wang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Multi-vehicle Platoon Overtaking Using NoisyNet Multi-agent Deep Q-Learning Network.

Lv He, Dongbo Zhang, Tianmeng Hu, Biao Luo

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Constrained Event-Triggered H_∞ Control Based on Adaptive Dynamic Programming With Concurrent Learning.

Shan Xue, Biao Luo, Derong Liu, Yin Yang

IEEE Trans. Syst. Man Cybern. Syst., 2022

Optimal Tracking Control for Uncertain Nonlinear Systems With Prescribed Performance via Critic-Only ADP.

Hongyang Dong, Xiaowei Zhao, Biao Luo

IEEE Trans. Syst. Man Cybern. Syst., 2022

Event-Triggered ADP for Tracking Control of Partially Unknown Constrained Uncertain Systems.

Shan Xue, Biao Luo, Derong Liu, Ying Gao

IEEE Trans. Cybern., 2022

Adaptive Appointed-Time Consensus Control of Networked Euler-Lagrange Systems With Connectivity Preservation.

Caisheng Wei, Mingzhen Gui, Chengxi Zhang, Yuxin Liao, Ming-Zhe Dai, Biao Luo

IEEE Trans. Cybern., 2022

Event-triggered integral reinforcement learning for nonzero-sum games with asymmetric input saturation.

Shan Xue, Biao Luo, Derong Liu, Ying Gao

Neural Networks, 2022

Adaptive dynamic programming-based visual servoing control for quadrotor.

Xinning Yi, Biao Luo, Yuqian Zhao

Neurocomputing, 2022

Neural network-based event-triggered integral reinforcement learning for constrained H∞ tracking control with experience replay.

Shan Xue, Biao Luo, Derong Liu, Ying Gao

Neurocomputing, 2022

Video object segmentation based on multi-level target models and feature integration.

Bocong Gao, Yuqian Zhao, Fan Zhang, Biao Luo, Chunhua Yang

Neurocomputing, 2022

2021

Adaptive Dynamic Programming for Control: A Survey and Recent Advances.

Derong Liu, Shan Xue, Bo Zhao, Biao Luo, Qinglai Wei

IEEE Trans. Syst. Man Cybern. Syst., 2021

Robust Exponential Synchronization for Memristor Neural Networks With Nonidentical Characteristics by Pinning Control.

Yueheng Li, Biao Luo, Derong Liu, Yin Yang, Zhanyu Yang

IEEE Trans. Syst. Man Cybern. Syst., 2021

Event-Triggered Adaptive Dynamic Programming for Unmatched Uncertain Nonlinear Continuous-Time Systems.

Shan Xue, Biao Luo, Derong Liu

IEEE Trans. Neural Networks Learn. Syst., 2021

Policy Iteration Q-Learning for Data-Based Two-Player Zero-Sum Game of Linear Discrete-Time Systems.

Biao Luo, Yin Yang, Derong Liu

IEEE Trans. Cybern., 2021

Periodic Event-Triggered Suboptimal Control With Sampling Period and Performance Analysis.

Biao Luo, Tingwen Huang, Derong Liu

IEEE Trans. Cybern., 2021

Integral reinforcement learning-based optimal output feedback control for linear continuous-time systems with input delay.

Gao Wang, Biao Luo, Shan Xue

Neurocomputing, 2021

Multi-objective optimization for autonomous driving strategy based on Deep Q Network.

Tianmeng Hu, Biao Luo, Chunhua Yang

Discov. Artif. Intell., 2021

Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles.

Xinglong Zhang, Yaoqian Peng, Biao Luo, Wei Pan, Xin Xu, Haibin Xie

CoRR, 2021

Feature-guided dictionary learning for patch-and-group sparse representations in single image deraining.

Ting Liu, Hongzhong Tang, Dongbo Zhang, Shuying Zeng, Biao Luo, Zhaoyang Ai

Appl. Soft Comput., 2021

A Combinatorial Recommendation System Framework Based on Deep Reinforcement Learning.

Fei Zhou, Biao Luo, Tianmeng Hu, Zihan Chen, Yilin Wen

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Adaptive Synchronization of Delayed Memristive Neural Networks With Unknown Parameters.

Zhanyu Yang, Biao Luo, Derong Liu, Yueheng Li

IEEE Trans. Syst. Man Cybern. Syst., 2020

Event-Triggered Adaptive Dynamic Programming for Zero-Sum Game of Partially Unknown Continuous-Time Nonlinear Systems.

Shan Xue, Biao Luo, Derong Liu

IEEE Trans. Syst. Man Cybern. Syst., 2020

Balancing Value Iteration and Policy Iteration for Discrete-Time Control.

Biao Luo, Yin Yang, Huai-Ning Wu, Tingwen Huang

IEEE Trans. Syst. Man Cybern. Syst., 2020

Event-Triggered Optimal Control With Performance Guarantees Using Adaptive Dynamic Programming.

Biao Luo, Yin Yang, Derong Liu, Huai-Ning Wu

IEEE Trans. Neural Networks Learn. Syst., 2020

Integral reinforcement learning based event-triggered control with input saturation.

Shan Xue, Biao Luo, Derong Liu

Neural Networks, 2020

Adaptive dynamic programming based event-triggered control for unknown continuous-time nonlinear systems with input constraints.

Shan Xue, Biao Luo, Derong Liu, Yueheng Li

Neurocomputing, 2020

Adaptive synchronization of memristor-based neural networks with discontinuous activations.

Yueheng Li, Biao Luo, Derong Liu, Zhanyu Yang, Yunli Zhu

Neurocomputing, 2020

Multi-scale local LSSVM based spatiotemporal modeling and optimal control for the goethite process.

Jiayang Dai, Ning Chen, Biao Luo, Weihua Gui, Chunhua Yang

Neurocomputing, 2020

Optimal Control of Iron-Removal Systems Based on Off-Policy Reinforcement Learning.

Ning Chen, Shuhan Luo, Jiayang Dai, Biao Luo, Weihua Gui

IEEE Access, 2020

2019

Output Tracking Control Based on Adaptive Dynamic Programming With Multistep Policy Evaluation.

Biao Luo, Derong Liu, Tingwen Huang, Jiangjiang Liu

IEEE Trans. Syst. Man Cybern. Syst., 2019

Pinning Control for Synchronization of Drive-Response Memristive Neural Networks with Nonidentical Parameters.

Yueheng Li, Biao Luo, Derong Liu, Zhe Dong, Zhanyu Yang

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Adaptive Constrained Optimal Control Design for Data-Based Nonlinear Discrete-Time Systems With Critic-Only Structure.

Biao Luo, Derong Liu, Huai-Ning Wu

IEEE Trans. Neural Networks Learn. Syst., 2018

Optimal Output Regulation for Model-Free Quanser Helicopter With Multistep Q-Learning.

Biao Luo, Huai-Ning Wu, Tingwen Huang

IEEE Trans. Ind. Electron., 2018

Adaptive Q-Learning for Data-Based Optimal Output Regulation With Experience Replay.

Biao Luo, Yin Yang, Derong Liu

IEEE Trans. Cybern., 2018

Reinforcement learning for robust adaptive control of partially unknown nonlinear systems subject to unmatched uncertainties.

Xiong Yang, Haibo He, Qinglai Wei, Biao Luo

Inf. Sci., 2018

Robust synchronization of memristive neural networks with strong mismatch characteristics via pinning control.

Yueheng Li, Biao Luo, Derong Liu, Zhanyu Yang

Neurocomputing, 2018

Topic and Prosody Interaction in Chinese Discourse.

Yueheng Li, Biao Luo

Proceedings of the 11th International Symposium on Chinese Spoken Language Processing, 2018

Event-Triggered Adaptive Dynamic Programming for Continuous-Time Nonlinear Two-Player Zero-Sum Game.

Shan Xue, Biao Luo, Derong Liu, Yueheng Li

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Policy Gradient Adaptive Dynamic Programming for Data-Based Optimal Control.

Biao Luo, Derong Liu, Huai-Ning Wu, Ding Wang, Frank L. Lewis

IEEE Trans. Cybern., 2017

Pinning synchronization of memristor-based neural networks with time-varying delays.

Zhanyu Yang, Biao Luo, Derong Liu, Yueheng Li

Neural Networks, 2017

Multi-step heuristic dynamic programming for optimal control of nonlinear discrete-time systems.

Biao Luo, Derong Liu, Tingwen Huang, Xiong Yang, Hongwen Ma

Inf. Sci., 2017

Synchronization of Memristor-Based Time-Delayed Neural Networks via Pinning Control.

Zhanyu Yang, Biao Luo, Derong Liu

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

An Approximate Optimal Control Approach for Robust Stabilization of a Class of Discrete-Time Nonlinear Systems With Uncertainties.

Ding Wang, Derong Liu, Hongliang Li, Biao Luo, Hongwen Ma

IEEE Trans. Syst. Man Cybern. Syst., 2016

Model-Free Optimal Tracking Control via Critic-Only Q-Learning.

Biao Luo, Derong Liu, Tingwen Huang, Ding Wang

IEEE Trans. Neural Networks Learn. Syst., 2016

Data-based robust adaptive control for a class of unknown nonlinear constrained-input systems via integral reinforcement learning.

Xiong Yang, Derong Liu, Biao Luo, Chao Li

Inf. Sci., 2016

Bipartite output consensus in networked multi-agent systems of high-order power integrators with signed digraph and input noises.

Hongwen Ma, Derong Liu, Ding Wang, Biao Luo

Int. J. Syst. Sci., 2016

Data-Based Optimal Tracking Control of Nonaffine Nonlinear Discrete-Time Systems.

Biao Luo, Derong Liu, Tingwen Huang, Chao Li

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

Adaptive Optimal Control of Highly Dissipative Nonlinear Spatially Distributed Processes With Neuro-Dynamic Programming.

Biao Luo, Huai-Ning Wu, Han-Xiong Li

IEEE Trans. Neural Networks Learn. Syst., 2015

Data-Driven H_∞ Control for Nonlinear Distributed Parameter Systems.

Biao Luo, Tingwen Huang, Huai-Ning Wu, Xiong Yang

IEEE Trans. Neural Networks Learn. Syst., 2015

Off-Policy Reinforcement Learning for H_∞ Control Design.

Biao Luo, Huai-Ning Wu, Tingwen Huang

IEEE Trans. Cybern., 2015

Reinforcement learning solution for HJB equation arising in constrained optimal control problem.

Biao Luo, Huai-Ning Wu, Tingwen Huang, Derong Liu

Neural Networks, 2015

H ∞ Control Synthesis for Linear Parabolic PDE Systems with Model-Free Policy Iteration.

Biao Luo, Derong Liu, Xiong Yang, Hongwen Ma

Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

2014

Q-learning for Optimal Control of Continuous-time Systems.

Biao Luo, Derong Liu, Tingwen Huang

CoRR, 2014

Data-based approximate policy iteration for affine nonlinear continuous-time optimal control design.

Biao Luo, Huai-Ning Wu, Tingwen Huang, Derong Liu

Autom., 2014

2013

Simultaneous policy update algorithms for learning the solution of linear continuous-time H_∞ state feedback control.

Huai-Ning Wu, Biao Luo

Inf. Sci., 2013

H-infinity control for air-breathing hypersonic vehicle based on online simultaneous policy update algorithm.

Chao Guo, Huai-Ning Wu, Biao Luo, Lei Guo

Int. J. Intell. Comput. Cybern., 2013

Data-based approximate policy iteration for nonlinear continuous-time optimal control design.

Biao Luo, Huai-Ning Wu, Tingwen Huang, Derong Liu

CoRR, 2013

2012

Approximate Optimal Control Design for Nonlinear One-Dimensional Parabolic PDE Systems Using Empirical Eigenfunctions and Neural Network.

Biao Luo, Huai-Ning Wu

IEEE Trans. Syst. Man Cybern. Part B, 2012

Neural Network Based Online Simultaneous Policy Update Algorithm for Solving the HJI Equation in Nonlinear H_∞ Control.

Huai-Ning Wu, Biao Luo

IEEE Trans. Neural Networks Learn. Syst., 2012

Online adaptive optimal control for bilinear systems.

Biao Luo, Huai-Ning Wu

Proceedings of the American Control Conference, 2012