Combined neural network-based adaptive input shaping and feedback control for effective automation of tower cranes under payload hoisting

Kulash Talapiden, Ahmad Bala Alhassan, Zaharuddin Mohamed, Muhammad Auwal Shehu, Ton Duc Do, Department of Robotics, School of Engineering and Digital Sciences , Nazarbayev University, Faculty of Electrical Engineering, Universiti Teknologi Malaysia

Journal of Vibration and Control

Published online on January 06, 2026

Abstract

Journal of Vibration and Control, Ahead of Print.
This paper proposes a hybrid control that combines an adaptive neural network (NN)-based input shaping control (ISC) with an intelligent fuzzy logic control (FLC) for control of a tower crane. The design has an advantage as the adaptive shaper can handle ...