Fictitious Reference Iterative Tuning of Intelligent Proportional-Integral Controllers for Tower Crane Systems
Author:
Affiliation:
1. Politehnica Univ. Timisoara,AAI Department,Timisoara,Romania
2. Politehnica Univ. Timisoara,Center Fundam. Appl. Tech. Res. Romanian Acad. - Timisoara Branch,AAI Department,Timisoara,Romania
3. University of Ottawa,EECS School,Ottawa,Canada
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10185661/10185641/10185866.pdf?arnumber=10185866
Reference48 articles.
1. Data-driven model-free sliding mode and fuzzy control with experimental validation;precup;Int J Comput Communic Control,2021
2. Model -Free Adaptive Control With Fuzzy Component for Tower Crane Systems
3. Model-Free Control of Finger Dynamics in Prosthetic Hand Myoelectric-based Control Systems
4. Model-Free Adaptive Control for Unknown MIMO Nonaffine Nonlinear Discrete-Time Systems With Experimental Validation
5. Non-Iterative Data-Driven Tuning of Model-Free Control Based on an Ultra-Local Model
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1. Practical one-shot data-driven design of fractional-order PID controller: Fictitious reference signal approach;ISA Transactions;2024-09
2. Iterative Feedback Tuning Algorithms for Two Rotor Aerodynamic Systems;Studies in Systems, Decision and Control;2024
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