GWO-Based Performance Improvement of PD-Type Iterative Learning Fuzzy Control of Tower Crane Systems
Author:
Affiliation:
1. Politehnica Univ. Timisoara,AAI Department,Timisoara,Romania
2. EECS School, University of Ottawa,Timisoara,Romania
Funder
Romanian Ministry of Education and Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9831187/9831454/09831526.pdf?arnumber=9831526
Reference35 articles.
1. Tensor product‐based model transformation approach to tower crane systems modeling
2. Performance Improvement of Low-Cost Iterative Learning-Based Fuzzy Control Systems for Tower Crane Systems
3. Adaptive Fuzzy Iterative Learning Control for High-Speed Trains With Both Randomly Varying Operation Lengths and System Constraints
4. Fuzzy modus ponens and tollens based on moving distance in SISO fuzzy system;kwak;Rom J Inform Sci Technol,2021
Cited by 2 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. Slime Mold Algorithm-Based Performance Improvement of PD-Type Indirect Iterative Learning Fuzzy Control of Tower Crane Systems;2023 57th Annual Conference on Information Sciences and Systems (CISS);2023-03-22
2. Fictitious Reference Iterative Tuning of Discrete-Time Model-Free Control for Tower Crane Systems;Studies in Informatics and Control;2023-03-07
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