Neural network-based safe optimal robust control for affine nonlinear systems with unmatched disturbances-Reference-Cited by-同舟云学术

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Neural network-based safe optimal robust control for affine nonlinear systems with unmatched disturbances

Published:2022-09 Issue: Volume:506 Page:228-239
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Qin Chunbin,Wang Jinguang,Zhu Heyang,Zhang Jishi,Hu Shaolin,Zhang Dehua

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference56 articles.

1. Optimal safe controller synthesis: A density function approach;Chen;American Control Conference (ACC),2020

2. Safe off-policy reinforcement learning using barrier functions;Marvi;American Control Conference (ACC),2020

3. Obstacle avoidance for low-speed autonomous vehicles with barrier function;Chen;IEEE Trans. Control Syst. Technol.,2018

4. Robust control barrier-value functions for safety-critical control;Choi,2021

5. Validating noncooperative control designs through a lyapunov approach;Chen;IEEE Trans. Control Syst. Technol.,2018

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1. Integral reinforcement learning-based dynamic event-triggered safety control for multiplayer Stackelberg–Nash games with time-varying state constraints;Engineering Applications of Artificial Intelligence;2024-07

2. Neural-network-based safe learning control for non-zero-sum differential games of nonlinear systems with asymmetric input constraints;Applied Intelligence;2024-06-14

3. Nonlinear dynamical system approximation and adaptive control based on hybrid‐feed‐forward recurrent neural network: Simulation and stability analysis;Expert Systems;2024-05-05

4. Dynamic event-triggered robust safety control for multiplayer fully cooperative games with mismatched uncertainties and asymmetric input constraints;Applied Intelligence;2023-12-19

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