Adaptive Control of a Mechatronic System Using Constrained Residual Reinforcement Learning-Reference-Cited by-同舟云学术

Adaptive Control of a Mechatronic System Using Constrained Residual Reinforcement Learning

Published:2022-10 Issue:10 Volume:69 Page:10447-10456
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Staessens Tom¹^ORCID,Lefebvre Tom¹^ORCID,Crevecoeur Guillaume¹^ORCID

Affiliation:

1. Department of Electrical Energy, Metals, Mechanical Constructions and Systems, Ghent University, Ghent, Belgium

Funder

Vlaamse regering

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/41/9768205/09693307.pdf?arnumber=9693307

Reference36 articles.

1. Design, Dynamic Modeling, and Experimental Validation of A Novel Alternating Flow Variable Displacement Hydraulic Pump

2. Filter Design for Estimating Parameters of Induction Motors With Time-Varying Loads

3. Neural network augmented physics models for systems with partially unknown dynamics: Application to slider-crank mechanism;groote;IEEE/ASME Trans Mechatronics,2021

4. Safe Reinforcement Learning Using Robust MPC

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