CLC number: TP13
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2022-02-23
Cited: 0
Clicked: 2668
Citations: Bibtex RefMan EndNote GB/T7714
He DENG, Yongyi YAN, Zengqiang CHEN. A matrix-based static approach to analysis of finite state machines[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(8): 1239-1246.
@article{title="A matrix-based static approach to analysis of finite state machines",
author="He DENG, Yongyi YAN, Zengqiang CHEN",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="23",
number="8",
pages="1239-1246",
year="2022",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2100561"
}
%0 Journal Article
%T A matrix-based static approach to analysis of finite state machines
%A He DENG
%A Yongyi YAN
%A Zengqiang CHEN
%J Frontiers of Information Technology & Electronic Engineering
%V 23
%N 8
%P 1239-1246
%@ 2095-9184
%D 2022
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2100561
TY - JOUR
T1 - A matrix-based static approach to analysis of finite state machines
A1 - He DENG
A1 - Yongyi YAN
A1 - Zengqiang CHEN
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 23
IS - 8
SP - 1239
EP - 1246
%@ 2095-9184
Y1 - 2022
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2100561
Abstract: Traditional matrix-based approaches in the field of finite state machines construct state transition matrices, and then use the powers of the state transition matrices to represent corresponding dynamic transition processes, which are cornerstones of system analysis. In this study, we propose a static matrix-based approach that revisits a finite state machine from its structure rather than its dynamic transition process, thus avoiding the "explosion of complexity" problem inherent in the existing approaches. Based on the static approach, we reexamine the issues of closed-loop detection and controllability for deterministic finite state machines. In addition, we propose controllable equivalent form and minimal controllable equivalent form concepts and give corresponding algorithms.
[1]Chen ZQ, Zhou YR, Zhang ZP, et al., 2020. Semi-tensor product of matrices approach to the problem of fault detection for discrete event systems (DESs). IEEE Trans Circ Syst II Expr Briefs, 67(12):3098-3102.
[2]Cheng DZ, Qi HS, 2010. A linear representation of dynamics of Boolean networks. IEEE Trans Autom Contr, 55(10):2251-2258.
[3]Han XG, Chen ZQ, Liu ZX, et al., 2018. The detection and stabilisation of limit cycle for deterministic finite automata. Int J Contr, 91(4):874-886.
[4]Lu JQ, Li HT, Liu Y, et al., 2017. Survey on semi-tensor product method with its applications in logical networks and other finite-valued systems. IET Contr Theory Appl, 11(13):2040-2047.
[5]Lu JQ, Sun LJ, Liu Y, et al., 2018. Stabilization of Boolean control networks under aperiodic sampled-data control. SIAM J Contr Optim, 56(6):4385-4404.
[6]Xu Q, Zhang ZP, Yan YY, et al., 2021. Security and privacy with K-step opacity for finite automata via a novel algebraic approach. Trans Inst Meas Contr, 43(16):3606-3614.
[7]Xu XR, Hong YG, 2013a. Matrix approach to model matching of asynchronous sequential machines. IEEE Trans Autom Contr, 58(11):2974-2979.
[8]Xu XR, Hong YG, 2013b. Observability analysis and observer design for finite automata via matrix approach. IET Contr Theory Appl, 7(12):1609-1615.
[9]Yan YY, Chen ZQ, Liu ZX, 2014. Semi-tensor product of matrices approach to reachability of finite automata with application to language recognition. Front Comput Sci, 8(6):948-957.
[10]Yan YY, Deng H, Chen ZQ, 2021. A new look at the critical observability of finite state machines from an algebraic viewpoint. Asian J Contr, early access.
[11]Yan YY, Yue JM, Chen ZQ, 2022. Observed data-based model construction of finite state machines using exponential representation of LMs. IEEE Trans Circ Syst II Expr Briefs, 69(2):434-438.
[12]Yue JM, Yan YY, Chen ZQ, 2019. Language acceptability of finite automata based on theory of semi-tensor product of matrices. Asian J Contr, 21(6):2634-2643.
[13]Zhu R, Chen ZQ, Zhang JL, et al., 2022. Strategy optimization of weighted networked evolutionary games with switched topologies and threshold. Knowl-Based Syst, 235:107644.
[14]Zhu SM, Feng JE, Sun LY, 2021. Matrix expression of Owen values. Asian J Contr, early access.
Open peer comments: Debate/Discuss/Question/Opinion
<1>