Adaptive input shaper for payload swing control of a 5-DOF tower crane with parameter uncertainties and obstacle avoidance

This paper proposes an adaptive input shaper for swing control of a five degrees of freedom tower crane under various parameter uncertainties together with payload hoisting and simultaneous motions. The real-time adaptive mechanism is designed using neural network and the shaper parameters can be up...

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Bibliographic Details
Main Authors: Fasih ur Rehman, S. M., Mohamed, Z., Husain, A. R., Ramli, L., Abbasi, M. A., Anjum, W., Shaheed, M. H.
Format: Article
Published: Elsevier B.V. 2023
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Online Access:http://eprints.utm.my/105417/
http://dx.doi.org/10.1016/j.autcon.2023.104963
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Institution: Universiti Teknologi Malaysia
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