Fuzzy Identification of Discrete Time Nonlinear Stochastic Systems
Ginalber L. O. Serra · Sciyo eBooks · 2010
The concept of fuzzy instrumental variable and an approach for fuzzy identification of nonlinear discrete time systems were proposed. Convergence conditions for identification in a noisy environment in a fuzzy context were studied. Simulation results for off-line and on-line schemes evidence the good quality of this fuzzy instrumental variable approach for identification and function approximation with observation errors in input and output data.