Online identification of evolving TakagiSugenoKang fuzzy models for crane systems
New evolving TakagiSugenoKang (TSK) fuzzy models dedicated to crane systems are proposed. A set of three evolving TSK fuzzy models are derived by an online identification algorithm. The models are tested and compared against the experimental data on a pendulumcrane equipment. The proposed TSK fuzzy models are simple and consistent with both training data and testing data.
evolving takagisugenokang fuzzy models crane systems online identification algorithms pendulumcrane laboratory equipment potentials of new data points sum of squared errors