Yongliang Yang

Frank L. Lewis

IEEE Trans. Cybern., February, 2024

Multiple adaptive fuzzy Nussbaum-type functions design for stochastic nonlinear systems with fixed-time performance.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., January, 2024

Spatio-temporal and multi-mode prediction for blast furnace gas flow.

[BibT_eX]

[DOI]

J. Frankl. Inst., 2024

All-Encompassing Bone Recognition and Safety Control Strategy for Robot-Assist Laminectomy Based on Milling Force.

[BibT_eX]

[DOI]

IEEE Access, 2024

Triggered Mechanism for Strict Feedback Systems Under Unknown Control Directions.

[BibT_eX]

[DOI]

Proceedings of the 14th Asian Control Conference, 2024

2023

Adaptive event-based fixed-time tracking design for strict-feedback nonlinear systems with unknown control coefficients.

[BibT_eX]

[DOI]

Neurocomputing, July, 2023

Reconstruction and classification of 3D burden surfaces based on two model drived data fusion.

[BibT_eX]

[DOI]

Expert Syst. Appl., April, 2023

Adaptive Trajectory Tracking Control With Novel Heading Angle and Velocity Compensation for Autonomous Underwater Vehicles.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., March, 2023

Fully Distributed Optimal Consensus for a Class of Second-Order Nonlinear Multiagent Systems With Switching Topologies.

[BibT_eX]

[DOI]

IEEE Syst. J., March, 2023

Model-Free λ-Policy Iteration for Discrete-Time Linear Quadratic Regulation.

[BibT_eX]

[DOI]

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

Robust Performance-Prescribed Attitude Control of Foldable Wave-Energy Powered AUV Using Optimized Backstepping Technique.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., February, 2023

Adaptive neural network finite-time control for nonlinear cyber-physical systems with external disturbances under malicious attacks.

[BibT_eX]

[DOI]

Neurocomputing, 2023

2022

Data-Driven Dynamic Multiobjective Optimal Control: An Aspiration-Satisfying Reinforcement Learning Approach.

[BibT_eX]

[DOI]

Majid Mazouchi

IEEE Trans. Neural Networks Learn. Syst., 2022

Adaptive Fuzzy Leader-Follower Synchronization of Constrained Heterogeneous Multiagent Systems.

[BibT_eX]

[DOI]

Cheng-Zhong Xu

IEEE Trans. Fuzzy Syst., 2022

Robust Actor-Critic Learning for Continuous-Time Nonlinear Systems With Unmodeled Dynamics.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2022

Hamiltonian-Driven Adaptive Dynamic Programming With Approximation Errors.

[BibT_eX]

[DOI]

Wei He

Cheng-Zhong Xu

IEEE Trans. Cybern., 2022

Dynamic Event-Triggered Design With Fixed-Time Performance and Input Dead-Zone.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, 2022

Command filtered adaptive output feedback design with novel Lyapunov-based analysis for nonlinear systems with unmodeled dynamics.

[BibT_eX]

[DOI]

J. Frankl. Inst., 2022

A unified fixed-time framework of adaptive fuzzy controller design for unmodeled dynamical systems with intermittent feedback.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Neuro-adaptive fixed-time control with novel command filter design for nonlinear systems with input dead-zone.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Data-Driven Human-Robot Interaction Without Velocity Measurement Using Off-Policy Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2022

Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2022

2021

Hamiltonian-Driven Hybrid Adaptive Dynamic Programming.

[BibT_eX]

[DOI]

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

Output Constrained Adaptive Controller Design for Nonlinear Saturation Systems.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2021

Force Perception and Bone Recognition of Vertebral Lamina Milling by Robot-Assisted Ultrasonic Bone Scalpel Based on Backpropagation Neural Network.

[BibT_eX]

[DOI]

IEEE Access, 2021

2020

Safe Intermittent Reinforcement Learning With Static and Dynamic Event Generators.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Dynamic Intermittent Feedback Design for $H_{\infty}$ Containment Control on a Directed Graph.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Online barrier-actor-critic learning for <i>H</i><sub>∞</sub> control with full-state constraints and input saturation.

[BibT_eX]

[DOI]

J. Frankl. Inst., 2020

Adaptive singularity-free controller design of constrained nonlinear systems with prescribed performance.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Data-driven Dynamic Multi-objective Optimal Control: An Aspiration-satisfying Reinforcement Learning Approach.

[BibT_eX]

[DOI]

Majid Mazouchi

CoRR, 2020

Data-Driven Nonzero-Sum Game for Discrete-Time Systems Using Off-Policy Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Access, 2020

Optimal Recursive Backstepping for Nonlinear Systems in a Strict-Feedback Form with Continuous and Intermittent Updates.

[BibT_eX]

[DOI]

Cheng-Zhong Xu

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Data-Driven Solutions to Mixed $H_{2}/H_{\infty}$ Control: A Hamilton-Inequality-Driven Reinforcement Learning Approach.

[BibT_eX]

[DOI]

Majid Mazouchi

Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

2019

Data-Driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-Policy Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Optimal Containment Control of Unknown Heterogeneous Systems With Active Leaders.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2019

Data-Driven Integral Reinforcement Learning for Continuous-Time Non-Zero-Sum Games.

[BibT_eX]

[DOI]

IEEE Access, 2019

Model-Free Temporal Difference Learning for Non-Zero-Sum Games.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Safe Intermittent Reinforcement Learning for Nonlinear Systems.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Safety-Aware Reinforcement Learning Framework with an Actor-Critic-Barrier Structure.

[BibT_eX]

[DOI]

Wei He

Proceedings of the 2019 American Control Conference, 2019

2018

Leader-Follower Output Synchronization of Linear Heterogeneous Systems With Active Leader Using Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Containment Control of Heterogeneous Systems With Non-Autonomous Leaders: A Distributed Optimal Model Reference Approach.

[BibT_eX]

[DOI]

IEEE Access, 2018

Off-Policy Integral Reinforcement Learning for Semi-Global Constrained Output Regulation of Continuous-Time Linear Systems.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Dynamic Intermittent Q-Learning for Systems with Reduced Bandwidth.

[BibT_eX]

[DOI]

Henrique Ferraz

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Model-Free Event-Triggered Containment Control of Multi-Agent Systems.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Hamiltonian-Driven Adaptive Dynamic Programming for Continuous Nonlinear Dynamical Systems.

[BibT_eX]

[DOI]

Donald Wunsch

IEEE Trans. Neural Networks Learn. Syst., 2017

Containment control of heterogeneous systems with active leaders of bounded unknown control using reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Hamiltonian-Driven Adaptive Dynamic Programming Based on Extreme Learning Machine.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Hamiltonian-driven adaptive dynamic programming for nonlinear discrete-time dynamic systems.

[BibT_eX]

[DOI]

Donald Wunsch

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

A modified ELM algorithm for the prediction of silicon content in hot metal.

[BibT_eX]

[DOI]

Sen Zhang