In this paper, the differential/difference representation (DDR) of an input-affine dynamics under sampling is characterized. Making use of combinatoric identities and formal calculus techniques, it is shown how to compute the sampled dynamics at any desired degree of approximation
AbstractThis paper introduces generalized zeros and hence disconjugacy of nth order linear dynamic e...
The present paper investigates the behaviour of nonlinear discrete-time dynamics over several steps ...
In this paper we prove that, generically, a sampled data system is strongly differentially observabl...
In this paper gradient and Hamiltonian dynamics are investigated in both discrete-time and sampled-d...
Recently a discrete version of Kramer's sampling theorem has been developed. The new theorem allows ...
The concept of "average passivity" is introduced making use of the Differential Difference Represent...
In the present work we characterize the discrete time system which reproduces exactly the evolutions...
Models for deterministic continuous-time nonlinear systems typically take the form of ordinary diffe...
It is found possible that an analogue computer be adapted to work on sampled Data and the First Deri...
These proceedings of the 18th International Conference on Difference Equations and Applications cove...
We give sampling theorems associated with boundary value problems whose differential equations are o...
The concept of the first differential approximation was introduced in the 1950s for the analysis of ...
The paper deals with sampled-data stabilization of delayed input-affine dynamics. To remove the infi...
This paper introduces generalized zeros and hence disconjugacy of nth order linear dynamic equations...
This paper introduces generalized zeros and hence disconjugacy of nth order linear dynamic equations...
AbstractThis paper introduces generalized zeros and hence disconjugacy of nth order linear dynamic e...
The present paper investigates the behaviour of nonlinear discrete-time dynamics over several steps ...
In this paper we prove that, generically, a sampled data system is strongly differentially observabl...
In this paper gradient and Hamiltonian dynamics are investigated in both discrete-time and sampled-d...
Recently a discrete version of Kramer's sampling theorem has been developed. The new theorem allows ...
The concept of "average passivity" is introduced making use of the Differential Difference Represent...
In the present work we characterize the discrete time system which reproduces exactly the evolutions...
Models for deterministic continuous-time nonlinear systems typically take the form of ordinary diffe...
It is found possible that an analogue computer be adapted to work on sampled Data and the First Deri...
These proceedings of the 18th International Conference on Difference Equations and Applications cove...
We give sampling theorems associated with boundary value problems whose differential equations are o...
The concept of the first differential approximation was introduced in the 1950s for the analysis of ...
The paper deals with sampled-data stabilization of delayed input-affine dynamics. To remove the infi...
This paper introduces generalized zeros and hence disconjugacy of nth order linear dynamic equations...
This paper introduces generalized zeros and hence disconjugacy of nth order linear dynamic equations...
AbstractThis paper introduces generalized zeros and hence disconjugacy of nth order linear dynamic e...
The present paper investigates the behaviour of nonlinear discrete-time dynamics over several steps ...
In this paper we prove that, generically, a sampled data system is strongly differentially observabl...
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