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Performance Improvement of Low-Cost Iterative Learning-Based Fuzzy Control Systems for Tower Crane Systems.

, , , , , and . Int. J. Comput. Commun. Control, (2022)

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On the architecture of a clustering platform for the analysis of big volumes of data., , and . SACI, page 145-150. IEEE, (2016)Embedding Gravitational Search Algorithms in Convolutional Neural Networks for OCR applications., , , , and . SACI, page 125-130. IEEE, (2012)Optimal motion prediction using a primitive-based model-free iterative control approach for crane systems., , and . ICIT, page 366-372. IEEE, (2015)On a translated frame-based approach to geometric modeling of robots., and . Robotics Auton. Syst., (2017)Nature-inspired optimization algorithms applied to fuzzy control, fuzzy modeling, mobile robots and optical character recognition.. SACI, page 11. IEEE, (2014)Center Manifold Theory Approach to the Stability Analysis of Fuzzy Control Systems., , and . Fuzzy Days, volume 1625 of Lecture Notes in Computer Science, page 382-390. Springer, (1999)Data-driven virtual reference feedback tuning and reinforcement Q-learning for model-free position control of an aerodynamic system., , and . MED, page 1126-1132. IEEE, (2016)Model-free fuzzy control of twin rotor aerodynamic systems., , and . MED, page 559-564. IEEE, (2017)Mixed MFC-VRFT Approach for a multivariable aerodynamic system position control., , and . SMC, page 2615-2620. IEEE, (2016)Charged System Search Algorithms for Optimal Tuning of PI Controllers., , , , and . CESCIT, page 115-120. International Federation of Automatic Control, (2012)