哈尔滨工业大学（深圳）学术讲座

演讲人Speaker：吴争光，浙江大学教授

题目Title: Asynchronous Control of Markov Jump Systems withComplex Transition Probabilities（具有复杂转移概率的马尔可夫跳变系统异步控制）

时间Date：2026年10月13日      

Time：上午10:00 ~ 11:00

地点Venue：H303

内容摘要(Abstract)：

Practical dynamic systems often experience abrupt changes in parameters or structures, which can be effectively modeled as Markov jump systems. Existing studies on Markov jump systems commonly rely on ideal assumptions, such as: i) the system mode can always be correctly detected, and ii) the transition probabilities (TPs) are time-invariant and perfectly known. However, these assumptions are frequently violated in practice, thereby limiting the applicability of the obtained theoretical findings. This talk aims to present asynchronous control methods for Markov jump systems that address mismatched mode detection and complex transition probabilities. We focus on two classes of Markov jump systems: homogeneous Markov jump systems with fixed but imperfectly known TPs, and piecewise homogeneous Markov jump systems with stochastically switching TPs governed by a higher-level Markov chain. We employ hidden Markov models to handle mismatched mode detection and design asynchronous control laws. Additionally, LMI-based convex optimization algorithms are developed for control law synthesis, and several numerical examples are presented to validate the effectiveness of the proposed control methods.

个人简介(About the speaker):

吴争光，浙江大学长聘教授/求是特聘教授，博士生导师，2019年和2022年分别入选国家“万人计划”青年拔尖人才和科技创新领军人才。主要开展多智能体系统协同控制、网络化系统与智能电网的研究。主持国家自然科学基金重点项目两项。自2014年起连续入选Elsevier中国高被引学者，自2017年起连续入选Clarivate Analytics全球高被引科学家。在IEEE系列汇刊和Automatica上发表（含录用）论文200余篇，论文引用2万多次，2篇论文入选中国百篇最具影响国际学术论文（2013年和2014年）。曾获得IEEE SMC学会2022年Andrew P. Sage Best Transactions Paper Award、多项省部级和中国自动化学会科学技术一等奖，担任多个学术期刊编委。指导的学生两次获得中国自动化学会优秀博士学位论文奖（2021年和2022年），三名学生入选国家级青年人才计划。