Conference proceeding
Improved small gain conditions for input-to-state stability with respect to measurement functions: Discrete time networked system
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings
12/14/2021
DOI: 10.1109/CDC45484.2021.9683129
Abstract
Conference Title: 2021 60th IEEE Conference on Decision and Control (CDC) Conference Start Date: 2021, Dec. 14 Conference End Date: 2021, Dec. 17 Conference Location: Austin, TX, USAIn this paper we study input-to-state stability with respect to measurement functions for discrete time networked systems. In such a networked system, the trajectory of each subsystem is affected by another in each time step, and this constraining system may change from step to step. We derive small gain conditions of input-to-state stability with respect to measurement functions for this type of discrete time networked system relying on the construction of dissipative-form finite time Lyapunov function. These conditions loosen those presented in [1] and [2]. Finally, we demonstrate the applicability of our results by applying them to the stability analysis of a distributed graph algorithm which does not satisfy the conditions of [1] and [2].
Details
- Title: Subtitle
- Improved small gain conditions for input-to-state stability with respect to measurement functions: Discrete time networked system
- Creators
- Yuanqiu MoChangbin YuSoura Dasgupta
- Resource Type
- Conference proceeding
- Publication Details
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings
- DOI
- 10.1109/CDC45484.2021.9683129
- Publisher
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
- Grant note
- DOI: 10.13039/501100002858, name: China Postdoctoral Science Foundation; DOI: 10.13039/501100004731, name: Natural Science Foundation of Zhejiang Province
- Language
- English
- Date published
- 12/14/2021
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984213459002771
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