Reinforcement-learning-based fixed-time attitude consensus control for multiple spacecraft systems with model uncertainties-Reference-Cited by-同舟云学术

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Reinforcement-learning-based fixed-time attitude consensus control for multiple spacecraft systems with model uncertainties

Published:2023-01 Issue: Volume:132 Page:108060
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Chen Run-Ze,Li Yuan-Xin^ORCID,Ahn Choon Ki^ORCID

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference43 articles.

1. Fuzzy adaptive distributed event-triggered consensus control of uncertain nonlinear multiagent systems;Li;IEEE Trans. Syst. Man Cybern. Syst.,2018

2. Prescribed performance control for multi-agent systems via fuzzy adaptive event-triggered strategy;Zhang;IEEE Trans. Fuzzy Syst.,2022

3. Observer-based event-triggered control for linear MASs under a directed graph and DoS attacks;Zhang;J. Control Decis.,2021

4. Observer-based event-triggered containment control for MASs under DoS attacks;Ma;IEEE Trans. Cybern.,2022

5. Leader-following consensus control for uncertain feedforward stochastic nonlinear multiagent systems;Li;IEEE Trans. Neural Netw. Learn. Syst.,2022

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1. Inverse compensation mechanism-based adaptive fuzzy-neural fault-tolerant control for an uncertain quadrotor UAV;Aerospace Science and Technology;2024-10

2. Actor-Critic Neural-Network-Based Fractional-Order Sliding Mode Control for Attitude Tracking of Spacecraft with Uncertainties and Actuator Faults;Fractal and Fractional;2024-06-28

3. Finite-Time Neural Network Controllers for Nonlinear Dynamical Systems;2024 9th International Conference on Control and Robotics Engineering (ICCRE);2024-05-10

4. Learning Chebyshev neural network-based spacecraft attitude tracking control ensuring finite-time prescribed performance;Aerospace Science and Technology;2024-05

5. Optimized Formation Control of Nonlinear Systems With Full-State Constraints Using Adaptive Fixed-Time Techniques;IEEE Transactions on Automation Science and Engineering;2024

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