Biao Luo
Orcid: 0000-0002-3353-2586
According to our database1,
Biao Luo
authored at least 105 papers
between 2008 and 2024.
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Bibliography
2024
Adaptive Neural Network-Based Event-Triggered SOC Observer With Application to a Stochastic Battery Model.
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.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Boundary Optimal Control for Parabolic Distributed Parameter Systems With Value Iteration.
IEEE Trans. Cybern., March, 2024
Adaptive Distributed Boundary Vibration Control of Multiagent Euler-Bernoulli Beams via Cooperative Disturbance Observer Network.
IEEE Syst. J., March, 2024
Adaptive Neural Tracking Control of a Class of Hyperbolic PDE With Uncertain Actuator Dynamics.
IEEE Trans. Cybern., February, 2024
Costate-Supplement ADP for Model-Free Optimal Control of Discrete-Time Nonlinear Systems.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Neural Networks, January, 2024
MFSF-Net: A Multiscale Feature and Side-Outputs Fusion Network for Pixelwise Catastrophic Optical Damage Detection.
IEEE Trans. Instrum. Meas., 2024
PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Adaptive dynamic programming based composite control for profile tracking with multiple constraints.
Neurocomputing, November, 2023
Pinning Spatiotemporal Sampled-Data Synchronization of Coupled Reaction-Diffusion Neural Networks Under Deception Attacks.
IEEE Trans. Neural Networks Learn. Syst., October, 2023
Adaptive Fuzzy Boundary Observer Design for Uncertain Linear Coupled Hyperbolic Partial Differential Equation Systems.
IEEE Trans. Fuzzy Syst., October, 2023
MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023
LJIR: Learning Joint-Action Intrinsic Reward in cooperative multi-agent reinforcement learning.
Neural Networks, October, 2023
TSDTVOS: Target-guided spatiotemporal dual-stream transformers for video object segmentation.
Neurocomputing, October, 2023
Predictive hierarchical reinforcement learning for path-efficient mapless navigation with moving target.
Neural Networks, August, 2023
Event-Triggered Optimal Control for Temperature Field of Roller Kiln Based on Adaptive Dynamic Programming.
IEEE Trans. Cybern., May, 2023
An optimization numerical spiking neural P system for solving constrained optimization problems.
Inf. Sci., May, 2023
Nat. Comput., March, 2023
Guest Editorial Special Issue on Computational Intelligence to Edge AI for Ubiquitous IoT Systems.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023
Neural Networks, 2023
Decentralized Multi-agent Reinforcement Learning based State-of-Charge Balancing Strategy for Distributed Energy Storage System.
CoRR, 2023
CoRR, 2023
IMKGA-SM: Interpretable Multimodal Knowledge Graph Answer Prediction via Sequence Modeling.
CoRR, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Mitigation of Voltage Violation for Battery Fast Charging Based on Data-Driven Optimization.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
2022
J. Membr. Comput., December, 2022
Constrained Event-Triggered H<sub>∞</sub> Control Based on Adaptive Dynamic Programming With Concurrent Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Optimal Tracking Control for Uncertain Nonlinear Systems With Prescribed Performance via Critic-Only ADP.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Event-Triggered ADP for Tracking Control of Partially Unknown Constrained Uncertain Systems.
IEEE Trans. Cybern., 2022
Adaptive Appointed-Time Consensus Control of Networked Euler-Lagrange Systems With Connectivity Preservation.
IEEE Trans. Cybern., 2022
Event-triggered integral reinforcement learning for nonzero-sum games with asymmetric input saturation.
Neural Networks, 2022
Continuance Intention of Online Healthcare Communities: The Mediation Mechanism of Social Interaction Ties.
J. Organ. End User Comput., 2022
Multi-learning rate optimization spiking neural P systems for solving the discrete optimization problems.
J. Membr. Comput., 2022
A distributed adaptive optimization spiking neural P system for approximately solving combinatorial optimization problems.
Inf. Sci., 2022
Inf. Sci., 2022
Neurocomputing, 2022
Neural network-based event-triggered integral reinforcement learning for constrained H∞ tracking control with experience replay.
Neurocomputing, 2022
Video object segmentation based on multi-level target models and feature integration.
Neurocomputing, 2022
Uniform design with prior information of factors under weighted wrap-around L<sub>2</sub>-discrepancy.
Comput. Stat., 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Robust Exponential Synchronization for Memristor Neural Networks With Nonidentical Characteristics by Pinning Control.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Event-Triggered Adaptive Dynamic Programming for Unmatched Uncertain Nonlinear Continuous-Time Systems.
IEEE Trans. Neural Networks Learn. Syst., 2021
Policy Iteration Q-Learning for Data-Based Two-Player Zero-Sum Game of Linear Discrete-Time Systems.
IEEE Trans. Cybern., 2021
Periodic Event-Triggered Suboptimal Control With Sampling Period and Performance Analysis.
IEEE Trans. Cybern., 2021
Managing Agricultural Water Considering Water Allocation Priority Based on Remote Sensing Data.
Remote. Sens., 2021
A nonlinear observer-based adaptive robust control approach for a class of uncertain asymmetric hysteretic systems.
J. Syst. Control. Eng., 2021
Integral reinforcement learning-based optimal output feedback control for linear continuous-time systems with input delay.
Neurocomputing, 2021
Multi-objective optimization for autonomous driving strategy based on Deep Q Network.
Discov. Artif. Intell., 2021
Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles.
CoRR, 2021
Feature-guided dictionary learning for patch-and-group sparse representations in single image deraining.
Appl. Soft Comput., 2021
A Combinatorial Recommendation System Framework Based on Deep Reinforcement Learning.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Adaptive Synchronization of Delayed Memristive Neural Networks With Unknown Parameters.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Event-Triggered Adaptive Dynamic Programming for Zero-Sum Game of Partially Unknown Continuous-Time Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2020
IEEE Trans. Syst. Man Cybern. Syst., 2020
Event-Triggered Optimal Control With Performance Guarantees Using Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2020
Neural Networks, 2020
Adaptive dynamic programming based event-triggered control for unknown continuous-time nonlinear systems with input constraints.
Neurocomputing, 2020
Adaptive synchronization of memristor-based neural networks with discontinuous activations.
Neurocomputing, 2020
Multi-scale local LSSVM based spatiotemporal modeling and optimal control for the goethite process.
Neurocomputing, 2020
IEEE Access, 2020
2019
Output Tracking Control Based on Adaptive Dynamic Programming With Multistep Policy Evaluation.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Impacts of Exploration and Exploitation on Firm's Performance and the Moderating Effects of Slack: A Panel Data Analysis.
IEEE Trans. Engineering Management, 2019
Pinning Control for Synchronization of Drive-Response Memristive Neural Networks with Nonidentical Parameters.
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.
IEEE Trans. Neural Networks Learn. Syst., 2018
Optimal Output Regulation for Model-Free Quanser Helicopter With Multistep Q-Learning.
IEEE Trans. Ind. Electron., 2018
IEEE Trans. Cybern., 2018
Reinforcement learning for robust adaptive control of partially unknown nonlinear systems subject to unmatched uncertainties.
Inf. Sci., 2018
Robust synchronization of memristive neural networks with strong mismatch characteristics via pinning control.
Neurocomputing, 2018
Inequity-averse agents' deserved concerns under the linear contract: a social network setting.
Ann. Oper. Res., 2018
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.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the Computational Data and Social Networks - 7th International Conference, 2018
2017
IEEE Trans. Cybern., 2017
Neural Networks, 2017
Multi-step heuristic dynamic programming for optimal control of nonlinear discrete-time systems.
Inf. Sci., 2017
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.
IEEE Trans. Syst. Man Cybern. Syst., 2016
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.
Inf. Sci., 2016
Bipartite output consensus in networked multi-agent systems of high-order power integrators with signed digraph and input noises.
Int. J. Syst. Sci., 2016
MISTER: An Approximate Minimum Steiner Tree Based Routing Scheme in Wireless Sensor Networks.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016
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.
IEEE Trans. Neural Networks Learn. Syst., 2015
IEEE Trans. Neural Networks Learn. Syst., 2015
IEEE Trans. Cybern., 2015
Reinforcement learning solution for HJB equation arising in constrained optimal control problem.
Neural Networks, 2015
H ∞ Control Synthesis for Linear Parabolic PDE Systems with Model-Free Policy Iteration.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015
2014
Data-based approximate policy iteration for affine nonlinear continuous-time optimal control design.
Autom., 2014
2013
Simultaneous policy update algorithms for learning the solution of linear continuous-time H<sub>∞</sub> state feedback control.
Inf. Sci., 2013
H-infinity control for air-breathing hypersonic vehicle based on online simultaneous policy update algorithm.
Int. J. Intell. Comput. Cybern., 2013
Data-based approximate policy iteration for nonlinear continuous-time optimal control design.
CoRR, 2013
2012
Approximate Optimal Control Design for Nonlinear One-Dimensional Parabolic PDE Systems Using Empirical Eigenfunctions and Neural Network.
IEEE Trans. Syst. Man Cybern. Part B, 2012
Neural Network Based Online Simultaneous Policy Update Algorithm for Solving the HJI Equation in Nonlinear H<sub>∞</sub> Control.
IEEE Trans. Neural Networks Learn. Syst., 2012
Proceedings of the American Control Conference, 2012
2010
Construction of Flexible Management of Human Resource: Study on HR Management Model in Growth Enterprise.
Proceedings of the International Conference on E-Business and E-Government, 2010
2009
Research on Overlapping Individuals in MOEAs: Causation, Probability for Quantity and Influence on Assessment.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
2008
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
Proceedings of the Frontiers in Algorithmics, Second Annual International Workshop, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008