In this paper gradient and Hamiltonian dynamics are investigated in both discrete-time and sampled-data contexts. At first, the discrete gradient function is profitably employed to define discrete gradient and Hamiltonian dynamics. On these bases, it is shown that representations of these forms can be recovered when computing the sampled-data equivalent models to gradient and Hamiltonian continuous-time dynamics.
Gradient and Hamiltonian dynamics under sampling / Moreschini, A.; Monaco, S.; Normand-Cyrot, D.. - 52:16(2019), pp. 472-477. (Intervento presentato al convegno 11th IFAC Symposium on Nonlinear Control Systems, NOLCOS 2019 tenutosi a Vienna; Austria) [10.1016/j.ifacol.2019.12.006].
Gradient and Hamiltonian dynamics under sampling
Moreschini A.
;Monaco S.;Normand-Cyrot D.
2019
Abstract
In this paper gradient and Hamiltonian dynamics are investigated in both discrete-time and sampled-data contexts. At first, the discrete gradient function is profitably employed to define discrete gradient and Hamiltonian dynamics. On these bases, it is shown that representations of these forms can be recovered when computing the sampled-data equivalent models to gradient and Hamiltonian continuous-time dynamics.| File | Dimensione | Formato | |
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