报告题目：The Information Compression and Anomaly Behavior Prediction Based on the Semi-Tensor Product of Matrices and Finite State Automata

报告人：李博文

报告摘要：This talk presents our work on both offline and online lossless state compression and distributed fault prognosis using the semi-tensor product of matrices and finite state automata. Specifically, two state compression protocols for logical networks are proposed, and several conditions for the solvability of lossless state compression are established. A framework for distributed fault prognosis under dynamic event observations is then constructed. To verify prognosability, an algorithm for constructing a verifying automaton is developed, together with a key condition for prognosability under dynamic event observations.

报告人简介:李博文, 南京邮电大学校长专聘教授，副教授，硕士生导师，入选2022年江苏省“双创博士”人才计划，2025年南京邮电大学华礼创新人才。主持国家自然科学基金两项（面上、青年各一项），中国博士后科学基金面上项目，江苏省青年基金项目，江苏省高校面上项目等。目前担任SCI期刊Scientific Reports和Franklin Open的青年编委。主要研究方向为逻辑系统的分析与控制，信息物理系统的故障诊断。以第一作者或通讯作者身份在国内外权威学术期刊如：IEEE Transactions on Automatic Control、IEEE Transactions on Information Theory、IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Cybernetics、Science China: Information Sciences等国际期刊上发表二十余篇论文。

会议时间：2026/04/10 10:00-12:00 (GMT+08:00)

腾讯会议：152-743-152

邀请人：于永渊副教授