Position-Based Fuzzy Force Control for Dual Industrial Robots
Journal of Intelligent and Robotic Systems
Sum normal optimization of fuzzy membership functions
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Alternate Methods in Reservoir Simulation
ICCS '01 Proceedings of the International Conference on Computational Science-Part II
A robust self-tuning fuzzy PI scheme for DTC induction motor drive
International Journal of Computer Applications in Technology
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The paper deals with the optimal adjustment of input scaling factors for fuzzy controllers (FCs). The method is based on the assumption that in the stationary case an optimally adjusted input scaling factor meets a specific statistical input output dependence. A measure for the strength of statistical dependence is the correlation function and the correlation coefficient, respectively. Without loss of generality, the adjustment of input scaling factors using correlation functions is pointed out by means of a single input-single output (SISO)-system. First, the paper deals with the so-called equivalent gain which is closely connected to the cross-correlation of the controller input and the defuzzified controller output. Next, it considers the computation of correlation functions and their representation inside the FC. The paper concludes with an example of a system of fuzzy rules controlling a redundant robot manipulator