Learning to extrapolate an optimal tracking control behavior towards new tracking tasks in a hierarchical primitive-based framework*
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9480136/9480160/09480348.pdf?arnumber=9480348
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. E-Planner: An Efficient Path Planner on a Visibility Graph in Unknown Environments;IEEE Transactions on Instrumentation and Measurement;2024
2. A hierarchical learning approach for generalized trajectory tracking validated on a magnetic bearing system;2022 International Conference on Electrical, Computer and Energy Technologies (ICECET);2022-07-20
3. Trajectory Tracking within a Hierarchical Primitive-Based Learning Approach;Entropy;2022-06-28
4. A hierarchical learning framework for generalizing tracking control behavior of a laboratory electrical system;2022 IEEE 17th International Conference on Control & Automation (ICCA);2022-06-27
5. Learning Model-Free Reference Tracking Control with Affordable Systems;Intelligent Systems Reference Library;2022
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