Safe control of context-aware systems modeled by Boolean dynamics

Yuxiang Yan, Rongpei Zhou, Meng Li, Qiegen Liu and Xinzhi Liu

Chaos, Solitons & Fractals, 2025, vol. 195, issue C

Abstract: As context-aware technology becoming more prevalent in a variety of applications, particularly in safety fields, it is increasingly important to evaluate the safety performance of context-aware systems (CASs). This paper addresses the safe control problem of general open-loop CASs by using the algebraic state-space representation, which is developed by the tool of the semi-tensor product (STP). Based on the analysis of the hydrogeological monitoring system, which is a typical representative of CASs, a BCN model for general CASs is derived. Further, we prove that the solvability of the safe control problem of CASs is equivalent to the problem being solvable by state feedback. By the methods of admissible path and state-space partition, an algorithm is designed to determine the state feedback controller for solving the safe control problem of CASs. Finally, the examples of hydrogeological monitoring system and a smart-home system are presented to demonstrate the effectiveness of the proposed results.

Keywords: Context-aware systems; Boolean control networks; Safe control problems; Semi-tensor product (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077925003212
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:195:y:2025:i:c:s0960077925003212

DOI: 10.1016/j.chaos.2025.116308

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().