This paper describes a modeling approach for

nonlinear dynamic systems based on a modified Volterra series

by comparing the truncation error of this series with that of the

classical Volterra one, we outlined that, under the assumption of

short-term nonlinear memory effects, the modified series enables

a single-fold nonlinear convolution integral to be adopted also in

the presence of strong nonlinearities. The measurement-based

identification of the first terms of the modified Volterra series is

described experimental and simulation results which confirm the

theoretical considerations are also provided.

Index Terms—Nonlinear dynamic model,-This paper describes a modeling approach for

nonlinear dynamic systems based on a modified Volterra series

by comparing the truncation error of this series with that of the

classical Volterra one, we outlined that, under the assumption of

short-term nonlinear memory effects, the modified series enables

a single-fold nonlinear convolution integral to be adopted also in

the presence of strong nonlinearities. The measurement-based

identification of the first terms of the modified Volterra series is

described　experimental and simulation results which confirm the

theoretical considerations are also provided.

Index Terms—Nonlinear dynamic model,