.png){kind=icon}
.png){kind=icon}
Return
Feedforwarding Under Sampling
.png){kind=icon}
OA
AI
DOI：10.1109/TAC.2019.2902666.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The paper deals with stabilization of feedforward multiple cascade dynamics under sampling. It is shown that u-average passivity concepts and Lyapunov methods can be profitably exploited to provide a systematic sampled-data design procedure. The proposed methodology recalls the continuous-time feedforwarding steps and can be applied under the same assumptions as those set over the continuous-time cascade dynamics. The final sampled feedback is carried out through a three-steps procedure that involves iterative passivation and stabilization in the u-average sense. Constructive aspects are developed to compute approximate solutions which are indeed implemented in practice. An example is worked out with comparative simulations with respect to usual sampled-and-hold implementations.
Keywords:
Feedforward systems
Lyapunov methods
Passivation
Computational modeling
Nonlinear systems
Stability criteria
Discrete-time systems
Algebraic
geometric methods
nonlinear systems
sampled data control
stability of NL systems
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7
Papers:
1.3W
Citations:
6.7W