The identification of block orientated systems is discussed. Particular attention is devoted to memoryless and dynamic systems with cascade structure. An optimal model of a memoryless cascade system is derived and estimated by kernel regression. Nonlinear dynamic systems of the Hammerstein and Wiener type are identified by means of non-parametric techniques. Convergence of the identification procedures is investigated.