CLC number: TP13
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2021-07-19
Cited: 0
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Citations: Bibtex RefMan EndNote GB/T7714
Jumei Yue, Yongyi Yan, Zengqiang Chen, He Deng. State space optimization of finite state machines from the viewpoint of control theory[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(12): 1598-1609.
@article{title="State space optimization of finite state machines from the viewpoint of control theory",
author="Jumei Yue, Yongyi Yan, Zengqiang Chen, He Deng",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="22",
number="12",
pages="1598-1609",
year="2021",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2000608"
}
%0 Journal Article
%T State space optimization of finite state machines from the viewpoint of control theory
%A Jumei Yue
%A Yongyi Yan
%A Zengqiang Chen
%A He Deng
%J Frontiers of Information Technology & Electronic Engineering
%V 22
%N 12
%P 1598-1609
%@ 2095-9184
%D 2021
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2000608
TY - JOUR
T1 - State space optimization of finite state machines from the viewpoint of control theory
A1 - Jumei Yue
A1 - Yongyi Yan
A1 - Zengqiang Chen
A1 - He Deng
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 22
IS - 12
SP - 1598
EP - 1609
%@ 2095-9184
Y1 - 2021
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2000608
Abstract: Motivated by the inconvenience or even inability to explain the mathematics of the state space optimization of finite state machines (FSMs) in most existing results, we consider the problem by viewing FSMs as logical dynamic systems. Borrowing ideas from the concept of equilibrium points of dynamic systems in control theory, the concepts of t-equivalent states and t-source equivalent states are introduced. Based on the state transition dynamic equations of FSMs proposed in recent years, several mathematical formulations of t-equivalent states and t-source equivalent states are proposed. These can be analogized to the necessary and sufficient conditions of equilibrium points of dynamic systems in control theory and thus give a mathematical explanation of the optimization problem. Using these mathematical formulations, two methods are designed to find all the t-equivalent states and t-source equivalent states of FSMs. Further, two ways of reducing the state space of FSMs are found. These can be implemented without computers but with only pen and paper in a mathematical manner. In addition, an open question is raised which can further improve these methods into unattended ones. Finally, the correctness and effectiveness of the proposed methods are verified by a practical language model.
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