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Functional Observability, Structural Functional Observability, and Optimal Sensor Placement

delete2025-03-01
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PRE
AI
张
张元 (Yuan Zhang) *
T
Tyrone Fernando
M
Mohamed Darouach
DOI:10.1109/TAC.2024.3462558delete
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摘要

摘要

En 中文
In this article, new characterizations for functional observability, functional detectability, and structural functional observability (SFO) are developed, and based on them, the related optimal sensor placement problems are investigated. A novel concept of modal functional observability coinciding with the notion of modal observability is proposed. This notion introduces necessary and sufficient conditions for functional observability and detectability in a unified way without resorting to system observability decomposition, and facilitates the design of a functionally observable/detectable system. Afterward, SFO is redefined rigorously from a generic perspective, contrarily to the definition of structural observability. A complete graph-theoretic characterization for SFO is proposed. Based on these results, the problems of selecting the minimal sensors from a prior set to achieve functional observability and SFO are shown to be NP-hard. Nevertheless, supermodular set functions are established, leading to greedy heuristics that can find approximation solutions to these problems with provable guarantees in polynomial time. A closed-form solution along with a constructive procedure is also given for the unconstrained case on systems with diagonalizable state matrices. Notably, our results also yield a polynomial-time verifiable case for structural target controllability, a problem that may be hard otherwise.
Keyword:
Observability
Observers
Vectors
Controllability
Sensor placement
Linear systems
Australia
Graph-theoretic characterization
modal functional observability
sensor placement
structural functional observability

期刊

IEEE Transactions on Automatic Control 封面图
IEEE Transactions on Automatic Control
IF:
7
论文数:
1.3W
被引数:
6.7W

机构

U
University of Western Australia
学者数:
2.9W
论文数: 3.0W
被引数: 46
U
universite de lorraine
学者数:
1.8W
论文数: 1.4W
被引数: 27
B
beijing institute of technology
学者数:
5.5W
论文数: 4.0W
被引数: 63
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