Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
A Takagi-Sugeno model with fuzzy inputs viewed from multidimensional interval analysis
Fuzzy Sets and Systems - Special issue: Interfaces between fuzzy set theory and interval analysis
IEEE Transactions on Fuzzy Systems
A hybrid adaptive fuzzy control for a class of nonlinear MIMO systems
IEEE Transactions on Fuzzy Systems
Self-organizing neuro-fuzzy system for control of unknown plants
IEEE Transactions on Fuzzy Systems
Non-parametric modelling of a rectangular flexible plate structure
Engineering Applications of Artificial Intelligence
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We applied adaptive neural-based fuzzy inference system (ANFIS) approach to the process control of ship automation manipulating systems. This paper studied the design of ANFIS controller for ship steering control system. Using BP algorithm to the learning of premise parameters, while least square algorithm to the learning of consequent parameters, we applied ANFIS approach to ship autopilot. To perform the ship task of steering a ship effectively, a ship autopilot system based on ANFIS approach is designed for various outer surroundings at sea in performing course keeping, course-changing more robustly. The simulating results by Matlab indicate that the performance of ANFIS controller is valuable and easy to implement.