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Simultaneously Stabilizing Networked Systems With Minimal Communication
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DOI：10.1109/TAC.2023.3309001.png)
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Abstract
En 中文
Self-triggered feedback control is used as a means to reduce the energy and communication requirements of networked systems. Triggered-control schemes result in aperiodic communications, with the potential for communication conflicts when multiple feedback loops are closed over a shared network. In this article, we analyze the necessary/sufficient conditions for simultaneous stabilizability of a set of nonlinear systems over a network from the perspective of scheduling theory, using Lyapunov functions and input to state stability. We then propose a recursively feasible self-triggering scheme that minimizes the usage of the communication channel while ensuring the stability of all systems.
Keywords:
Networked systems
scheduling
self-triggered control
simultaneous stabilizability
Journal
IF:
7
Papers:
1.3W
Citations:
6.7W
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