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.
摘要
在有限状态机研究领域, 传统矩阵法首先构造状态转移矩阵, 然后利用状态转移矩阵的幂来表示系统动态转移过程. 这一过程是有限状态机系统分析的基石. 本文提出一种基于矩阵的静态方法. 该方法从拓扑结构的视角审视有限状态机, 而非传统动态转移过程的视角, 因此能够避免现有方法中存在的“维度爆炸”问题. 基于这种静态方法, 本文重新分析确定有限状态机的闭环检测与可控性问题. 此外, 我们提出可控等价型与最小可控等价型概念, 并给出相关算法.
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References
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. https://doi.org/10.1109/TCSII.2020.2967062
Cheng DZ, Qi HS, 2010. A linear representation of dynamics of Boolean networks. IEEE Trans Autom Contr, 55(10): 2251–2258. https://doi.org/10.1109/TAC.2010.2043294
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. https://doi.org/10.1080/00207179.2017.1295319
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. https://doi.org/10.1049/iet-cta.2016.1659
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. https://doi.org/10.1137/18M1169308
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. https://doi.org/10.1177/01423312211040314
Xu XR, Hong YG, 2013a. Matrix approach to model matching of asynchronous sequential machines. IEEE Trans Autom Contr, 58(11):2974–2979. https://doi.org/10.1109/TAC.2013.2259957
Xu XR, Hong YG, 2013b. Observability analysis and observer design for finite automata via matrix approach. IET Contr Theory Appl, 7(12):1609–1615. https://doi.org/10.1049/iet-cta.2013.0096
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. https://doi.org/10.1007/s11704-014-3425-y
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. https://doi.org/10.1002/asjc.2705
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. https://doi.org/10.1109/TCSII.2021.3087189
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. https://doi.org/10.1002/asjc.2190
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. https://doi.org/10.1016/j.knosys.2021.107644
Zhu SM, Feng JE, Sun LY, 2021. Matrix expression of Owen values. Asian J Contr, early access. https://doi.org/10.1002/asjc.2738
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He DENG conceived the concept, designed the research, and drafted the paper. Yongyi YAN and Zengqiang CHEN supervised the research, helped organize the paper, and revised and finalized the paper.
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He DENG, Yongyi YAN, and Zengqiang CHEN declare that they have no conflict of interest.
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Project supported by the National Natural Science Foundation of China (Nos. U1804150, 62073124, and 61973175)
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Deng, H., Yan, Y. & Chen, Z. A matrix-based static approach to analysis of finite state machines. Front Inform Technol Electron Eng 23, 1239–1246 (2022). https://doi.org/10.1631/FITEE.2100561
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DOI: https://doi.org/10.1631/FITEE.2100561
Key words
- Logical systems
- Finite-valued systems
- Semi-tensor product of matrices
- Finite state machines
- Matrix approaches