A simple algorithm for training fuzzy systems using input-output data
Advances in Engineering Software
A method for fuzzy system identification based on clustering analysis
Systems Analysis Modelling Simulation
Fuzzy Modeling Based on Ordinary Fuzzy Partitions and Nearest Neighbor Clustering
Journal of Intelligent and Robotic Systems
Hysteresis modeling of piezoelectric actuators using the fuzzy system
ICIRA'10 Proceedings of the Third international conference on Intelligent robotics and applications - Volume Part I
Hi-index | 0.00 |
This paper deals with the problem of controlling multivariable nonlinear servomechanisms by means of fuzzy approaches. A specific system under consideration is a passive nonlinear line-of-sight (LOS) stabilization system with strong interactions between two channels. By using the concept of decentralized control, a control structure is developed that is composed of two control loops, each of which is associated with a single-variable fuzzy controller and a decoupling unit. A simplified fuzzy control algorithm is used to implement the fuzzy controller. We propose two novel approaches to designing the decoupling units. The first one is based on the theory of fuzzy reasoning whereas the second scheme relies on the principle of adaptation. Extensive simulation studies on the LOS system have demonstrated the feasibility and effectiveness of the proposed approach