Hierarchical Backstepping Fast Terminal Sliding Mode Control Strategy With GPIO For Double Pendulum Cranes
Author:
Affiliation:
1. School of Artificial Intelligence, Hebei University of Technology,Tianjin,P. R. China,300401
Funder
National Natural Science Foundation of China
Natural Science Foundation of Hebei Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10239690/10239711/10239799.pdf?arnumber=10239799
Reference22 articles.
1. Adaptive Neural Network-Based Tracking Control of Underactuated Offshore Ship-to-Ship Crane Systems Subject to Unknown Wave Motions Disturbances
2. Adaptive Fuzzy Control for a Class of MIMO Underactuated Systems With Plant Uncertainties and Actuator Deadzones: Design and Experiments
3. Intelligent Optimal Control With Critic Learning for a Nonlinear Overhead Crane System
4. Neural Networks-Based Adaptive Control for Nonlinear State Constrained Systems With Input Delay
5. Composite Backstepping Consensus Algorithms of Leader–Follower Higher-Order Nonlinear Multiagent Systems Subject to Mismatched Disturbances
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