Recursive least square approximation using monotonic fuzzy systems
Petr Hušek · 2016
Recursive least squares algorithms for approximation of a multivariate nonlinear function by a fuzzy system guaranteeing monotonicity of the corresponding mapping with respect to individual inputs are presented in this paper. Since the exact solution suffers from high computationally complexity two approximating solutions are presented as well. Two illustrative examples are given to compare the algorithms and to demonstrate the benefit of fuzzy systems preserving monotonicity.