博士，副教授，硕士生导师

工作单位： beat365正版唯一官网必一

电子邮箱： houqinghua@dlmu.edu.cn

一、个人简介

侯庆华，博士，副教授，硕士生导师。2024年博士毕业于东北大学，同年入职beat365正版唯一官网必一。主要从事自适应控制、事件触发控制、网络化控制、T–S模糊系统、多智能体系统协同与优化控制、强化学习控制等方面的研究，关注相关理论在无人艇、多机器人等系统中的应用。已发表高水平SCI论文20余篇，获大连市高层次人才（青年才俊）奖励。

主持国家自然科学基金青年科学基金项目（C类）、中国博士后科学基金第77批面上资助项目及中央高校基本科研业务费青年教师科技创新项目。 近年来，围绕预定时间控制、通信受限条件下的多无人艇协同优化、故障条件下的性能保障等问题开展研究，相关成果发表于 IEEE Transactions on Systems, Man, and Cybernetics: Systems、Ocean Engineering、Nonlinear Dynamics 等期刊。

注重控制理论研究与学生科研训练相结合，指导学生在研究生国家奖学金、优秀本科毕业论文、推荐免试研究生及大学生创新创业项目等方面取得成果。

二、教育经历

2012—2016年，长安大学，自动化专业，本科。

2017—2020年，东北大学，控制理论与控制工程专业，工学硕士。

2020—2024年，东北大学，控制科学与工程专业，工学博士。

三、工作经历

2024年—至今，beat365正版唯一官网必一，副教授。

2025年至今， 大连光洋科技集团有限公司&大连理工大学，博士后

四、主要研究方向

自适应与模糊控制： 自适应模糊控制、T–S模糊系统、非线性系统控制及执行器故障条件下的可靠控制。

事件触发与网络化控制： 动态事件触发、动态记忆事件触发机制，以及通信受限、网络攻击和链路故障条件下的控制方法。

多智能体协同与优化控制： 一致性控制、协同输出调节、分布式优化与编队控制，以及有限时间、固定时间和预定时间控制。

智能控制及其应用： 强化学习控制，以及上述控制理论在无人艇、多机器人协同系统中的应用。

五、主持科研项目

国家自然科学基金青年科学基金项目（C类）：智能事件触发机制下多智能体系统协同输出调节理论研究及其在无人艇平台上的应用，主持。

中国博士后科学基金第77批面上资助项目，主持。

中央高校基本科研业务费青年教师科技创新项目，主持。

六、部分代表性论文

（一）期刊论文

[1] Qinghua Hou, Liying Hao. “Event-triggered practical prescribed-time distributed optimal formation control of heterogeneous multi-USVs under intermittent communication.” Ocean Engineering, 2026.

[2] Qinghua Hou, Shuo Li, Liying Hao. “Prescribed-time control with adaptive performance reset for nonlinear systems under abrupt non-affine faults and event-triggering.” Nonlinear Dynamics, 2026.

[3] Qinghua Hou, Jiuxiang Dong. “Performance-oriented prescribed-time formation control for heterogeneous vehicle platoons via a dynamic coefficient-based event-triggered mechanism.” Journal of the Franklin Institute, 2026.

[4] Qinghua Hou, Jiuxiang Dong. “H∞ Controller Synthesis for IT2 Fuzzy Systems via Membership Function Optimizer and Enhanced Dynamic Event-Triggered Mechanisms.” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025.

[5] Qinghua Hou, Jiuxiang Dong, Tingting Yang. “Fully distributed dynamic event-triggered reliable COR of nonlinear MASs with communication link faults and actuator faults for directed graphs.” Information Sciences, 2025.

[6] Qinghua Hou, Jiuxiang Dong. “Membership function-dependent H∞ control for set-described T-S fuzzy system via improved dynamic memory event-triggered mechanism.” IEEE Transactions on Fuzzy Systems, 2024.

[7] Qinghua Hou, Jiuxiang Dong. “Cooperative output regulation of MASs with a novel parameter convergence condition and prescribed-time event-triggered observers and its application to robot formation.” IEEE Transactions on Automation Science and Engineering, 2024.

[8] Qinghua Hou, Jiuxiang Dong. “Dynamic event-triggered fixed-time tracking control for state-constrained nonlinear systems with dead zone based on fast fixed-time filters.” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023.

[9] Qinghua Hou, Jiuxiang Dong. “Fully distributed cooperative fault-tolerant output regulation of linear heterogeneous MASs: A dynamic memory event-triggered distributed observer approach.” IEEE Transactions on Automation Science and Engineering, 2023.

[10] Qinghua Hou, Jiuxiang Dong. “Finite-time membership function-dependent H∞ control for T-S fuzzy systems via a dynamic memory event-triggered mechanism.” IEEE Transactions on Fuzzy Systems, 2023.

[11] Qinghua Hou, Jiuxiang Dong. “Robust adaptive event-triggered fault-tolerant consensus control of multiagent systems with a positive minimum interevent time.” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023.

[12] Qinghua Hou, Jiuxiang Dong. “Improved event-triggered prescribed-time cooperative output regulation for nonlinear multiagent systems.” IEEE Transactions on Circuits and Systems II: Express Briefs, 2023.

[13] Qinghua Hou, Jiuxiang Dong. “Enabling reliable cooperative output regulation in directed graphs: Fully distributed event-triggered protocols for multiagent systems with actuator faults and communication link faults.” IEEE Systems Journal, 2023.

[14] Qinghua Hou, Jiuxiang Dong. “H∞ Controller Synthesis for Interval Type-2 Fuzzy Network Systems with Hybrid Attacks and Disturbances via Dual-Channel Dynamic Event-Triggered Mechanisms.” Nonlinear Dynamics, 2023.

[15] Qinghua Hou, Jiuxiang Dong. “Cooperative fault-tolerant output regulation of linear heterogeneous multiagent systems via an adaptive dynamic event-triggered mechanism.” IEEE Transactions on Cybernetics, 2022.

[16] Qinghua Hou, Jiuxiang Dong. “Cooperative output regulation of linear multiagent systems with parameter convergence.” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022.

[17] Qinghua Hou, Jiuxiang Dong. “Distributed dynamic event-triggered consensus control for multiagent systems with guaranteed L2 performance and positive inter-event times.” IEEE Transactions on Automation Science and Engineering, 2022.

[18] Qinghua Hou, Jiuxiang Dong. “Adaptive fuzzy reliable control for switched uncertain nonlinear systems based on closed-loop reference model.” Fuzzy Sets and Systems, 2020.

[19] Jiuxiang Dong, Qinghua Hou, Mingming Ren. “Control synthesis for discrete-time T-S fuzzy systems based on membership function-dependent H∞ performance.” IEEE Transactions on Fuzzy Systems, 2020.

[20] Qinghua Hou, Jiuxiang Dong, Changjiang Xi. “Adaptive neural network tracking control for switched uncertain non-linear systems with actuator failures and time-varying delays.” IET Control Theory & Applications, 2019.

（二）会议论文

[21] Qinghua Hou, Xudong Zhao. “Event-Triggered Cooperative Output Regulation for MASs with Prescribed Time Constraints.” 2025 4th Conference on Fully Actuated System Theory and Applications (FASTA).

[22] Qinghua Hou, Xudong Zhao. “Controller Synthesis for T-S Fuzzy Systems Based on Premise Variable-Dependent Performance.” 2025 4th Conference on Fully Actuated System Theory and Applications (FASTA).

学生培养与指导成果

研究生培养

指导研究生李硕获得研究生国家奖学金、研究生一等学业奖学金。

本科生培养

指导本科生张嘉伟获评2026年校优秀本科毕业生，其本科毕业论文获评校优秀本科毕业论文，并推免至大连理工大学继续深造。

指导本科生石绍平、祝烨获得推荐免试研究生资格。

大学生创新创业项目

指导祝烨、陈婕等学生开展大学生创新创业计划项目，获得省级A类立项。