Adaptive neural network hierarchical sliding mode control for six degrees of freedom overhead crane
Author:
Affiliation:
1. International School Vietnam National University Hanoi Vietnam
2. Faculty of Information Technology Hanoi University of Industry Hanoi Vietnam
Publisher
Wiley
Subject
Control and Systems Engineering,Electrical and Electronic Engineering,Mathematics (miscellaneous)
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/asjc.2961
Reference39 articles.
1. Control strategies for crane systems: A comprehensive review
2. Efficient control of a 3d overhead crane with simultaneous payload hoisting and wind disturbance: Design, simulation and experiment;Abdullahi A.;Mech. Syst. Sig. Process.,2020
3. Optimal trajectory planning and tracking control method for overhead cranes
4. A new overhead crane emergency braking method with theoretical analysis and experimental verification
5. Payload pendulation and position control systems for an offshore container crane with adaptive‐gain sliding mode control
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1. Modeling and vibration suppression for overhead crane in planar space with nonlinear time-varying actuator faults and uncertain control directions;Nonlinear Dynamics;2024-07-31
2. A Finite-Time Recursion-Based Tracking Control for Under-Actuated Autonomous Underwater Vehicles;Lecture Notes in Networks and Systems;2024
3. Super-twisting disturbance-observer-based nonlinear control of the overhead crane system;Nonlinear Dynamics;2023-05-30
4. A Novel Separation Principle-Based Stabilization for 6-Dof Overhead Crane Under Fault Injection Data Onslaught;IEEE Access;2023
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