Los puntos clave no están disponibles para este artículo en este momento.
We propose a numerical procedure to design a linear output-feedback controller for a remote linear plant in which the loop is closed through a network. The controller stabilizes the plant in the presence of delay, sampling, and dropout effects in the measurement and actuation channels. We consider two types of control units: anticipative and non-anticipative. In both cases the closed-loop system with delay, sampling and packet dropout effects can be modeled as a delay differential equation. Our method of designing the controller is based on the Lyapunov-Krasovskii theorem and a linear cone complementarity algorithm. Numerical examples show that our method is significantly better than the existing ones.
Naghshtabrizi et al. (Wed,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: