Takagi-sugeno fuzzy modeling and PSO-based robust LQR anti-swing control for overhead crane

DOI10.1155/2019/4596782zbMath1435.93133OpenAlexW2935108156WikidataQ128094042 ScholiaQ128094042MaRDI QIDQ2298448

Xuejuan Shao, Jinggang Zhang, Xue-Liang Zhang

Publication date: 20 February 2020

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/4596782

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Application models in control theory (93C95)

Related Items (1)

An online adaptive policy iteration-based reinforcement learning for a class of a nonlinear 3D overhead crane

Cites Work

• 3D cooperative control of tower cranes using robust adaptive techniques
• T-S fuzzy model based control strategy for the networked suspension control system of maglev train
• TS fuzzy robust \(\mathrm L_1\) control for nonlinear systems with persistent bounded disturbances
• Swarm optimization tuned fuzzy sliding mode control design for a class of nonlinear systems in presence of uncertainties
• More Relaxed Non‐Quadratic Stabilization Conditions Using Ts Open Loop System and Control Law Properties

This page was built for publication: Takagi-sugeno fuzzy modeling and PSO-based robust LQR anti-swing control for overhead crane