On the Equivalence among Three Controllability Problems for a Networked System
Tong Zhou

TL;DR
This paper provides a new deterministic proof of the mathematical equivalence among three controllability problems in networked systems, clarifying their NP-hardness and extending results to systems with additional input restrictions.
Contribution
It introduces a deterministic approach to prove equivalence among controllability problems and extends existing NP-hardness results to systems with input constraints.
Findings
Established the equivalence among three controllability problems using a deterministic method.
Extended NP-hardness results to systems with bounded input matrix elements.
Provided insights applicable to minimal observability problem complexity analysis.
Abstract
A new proof is given for the mathematical equivalence among three -sparse controllability problems of a networked system, which plays key roles in Olshevsky,2014, in the establishment of the NP-hardness of the associated minimal controllability problems (MCP). Compared with the available ones, a completely deterministic approach is adopted. Moreover, only primary algebraic operations are utilized in all the derivations. These results enhance the available conclusions about the NP-hardness of a MCP, and can also be directly applied to the computational complexity analysis for a minimal observability problem. In addition, the results of Olshevsky,2014, have also been extended to situations in which there are also some other restrictions, such as bounded element magnitude, etc., on the system input matrix.
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Taxonomy
TopicsStability and Control of Uncertain Systems · Distributed Control Multi-Agent Systems · Cybersecurity and Information Systems
