Function (biology)

Control (management)

Engineering

Biology

Marine engineering

Control engineering

Stability (learning theory)

Computer science

Controller (irrigation)

Evolutionary biology

Computer network

Dynamic positioning

Asynchronous communication

Fuzzy logic

Agronomy

Artificial intelligence

Control theory (sociology)

Machine learning

IEEE Transactions on Cybernetics

This paper is concerned with a Takagi-Sugeno (T-S) fuzzy dynamic positioning controller design for an unmanned marine vehicle (UMV) in network environments. Network-based T-S fuzzy dynamic positioning system (DPS) models for the UMV are first established. Then, stability and stabilization criteria are derived by taking into consideration an asynchronous difference between the normalized membership function of the T-S fuzzy DPS and that of the controller. The proposed stabilization criteria can stabilize states of the UMV. The dynamic positioning performance analysis verifies the effectiveness of the networked modeling and the controller design.

Network-Based T–S Fuzzy Dynamic Positioning Controller Design for Unmanned Marine Vehicles