羅紹華

羅紹華 博士/博士后

貴州大學教授、博士生導師、碩士生導師

地址：貴州省貴陽市貴州大學機械工程學院

Email: shluo@gzu.edu.cn

個人簡介

省優(yōu)秀青年科技人才、省創(chuàng)新研究群體和貴州大學ESI潛力學科提升計劃重點項目負責人、省“企業(yè)創(chuàng)新崗”特聘專家、貴州大學學科學術帶頭人。

主要從事特種機電系統(tǒng)及網(wǎng)絡的動力學分析、數(shù)字電路設計與智能控制、自適應控制、最優(yōu)控制和主動容錯控制、人工智能技術在機電系統(tǒng)及網(wǎng)絡中的應用等方面研究。近年來主持了國家自然科學基金、省自然科學基金、中國博士后科學基金等研究課題，參與了國家“863計劃”和國家自然科學基金（重點、面上和國際（地區(qū)）合作與交流項目）的研究工作。在MEMS/NEMS、自主智能系統(tǒng)、高性能機電驅動系統(tǒng)與裝備的動力學分析、模擬集成電路和智能控制等關鍵科學技術方面取得了一定的理論與應用成果，在國內(nèi)外權威學術期刊上發(fā)表科研論文60篇，獲授權發(fā)明專利20余項（其中美國發(fā)明專利1項和英國發(fā)明專利4項），轉化專利2項，獲卓越基金二等獎，受邀多次為國際學術會議做主題報告，相關研究成果得到了該領域知名專家北京交通大學的Bin Ning院士、上海交通大學的Zhongliang Jing教授和美國Missouri University of Science and Technology的Donald C. Wunsch教授（IEEE Fellow）等的正面引用，成果被評價為“Inspired by”，“Motivated by”和“important results”等，具有4年多國企與外資工程師的經(jīng)歷。

研究方向

1.特種機電系統(tǒng)及網(wǎng)絡的動力學分析、數(shù)字電路設計與智能控制；

2.自適應控制、最優(yōu)控制和主動容錯控制；

3.人工智能技術在機電系統(tǒng)及網(wǎng)絡中的應用；

4.基于FPGA/DSP的機電芯片控制系統(tǒng)集成與開發(fā)。

招生專業(yè)

 機械工程（學科代碼0802）、電子信息（學科代碼0854）

 歡迎機械工程、自動化、電子科學與技術、電氣工程、集成電路設計與集成系統(tǒng)、數(shù)學、物理等專業(yè)有志之士報考研究生！

教育經(jīng)歷

2010.09-2014.06，重慶大學，機械工程，博士

2006.09-2009.06，重慶大學，機械工程，碩士

2001.09-2005.06，重慶大學，機械設計制造及自動化，學士

2019.01-2020.01，University of Texas，控制科學與工程

科研項目

1.科學技術部外國專家項目，DL2023038001L，高性能MEMS陀螺儀的動力學分析與魯棒控制研究，在研, 主持；

2.國家自然科學基金，52065008，MEMS陀螺儀的非線性動力學分析與自適應控制研究，在研，主持；

3.研究生課程思政示范課程項目，KCSZ2021012，先進制造技術，已結題，主持；

4.省高層次人才創(chuàng)新創(chuàng)業(yè)項目，(2021)08，MEMS陀螺儀的動態(tài)特性分析與自適應穩(wěn)定控制，已結題，主持

5.省科技廳自然科學基金，[2020]1Y274，高精度MEMS諧振器的系統(tǒng)建模與自適應控制技術研究，已結題，主持；

6.國家自然科學基金，51505170，柔性濾波驅動機構的自適應控制方法研究，已結題，主持；

7.中國博士后科學基金項目，2015M572445，行星齒輪驅動機構的自適應神經(jīng)網(wǎng)絡控制研究，已結題，主持；

8.省教育廳自然科學基金，[2018]111，伺服驅動機構系統(tǒng)的魯棒控制研究，已結題，主持；

9.中央高?；究蒲袠I(yè)務費創(chuàng)新人才專項項目，CDJRC171202，伺服驅動機構系統(tǒng)的動力學行為與控制策略研究，已結題，主持；

10.國家自然科學基金面上項目，51475051，基于仿生耦合界面的新型精密行星傳動多場多參量耦合非線性動態(tài)特性研究，已結題，參加；

11.國家自然科學基金重點項目，61933012，動態(tài)環(huán)境下的無人系統(tǒng)先進控制理論及自主協(xié)作策略研究，已結題，參加；

12.國家自然科學基金國際（地區(qū)）合作與交流項目，61860206008，基于腦操作性條件反射的控制理論及其在柔性靈巧欠驅機器人系統(tǒng)中的應用，在研，參加；

13.國家自然科學基金重點項目，50735008，新型高性能傳動件及系統(tǒng)的可靠性設計理論與方法，已結題，參加。

代表性科研論文

[1]  Shaohua Luo, Yongduan Song, Frank L. Lewis, Guangwei Deng, Dynamical analysis, circuit design and fuzzy prescribed performance backstepping control of the FO weakly coupled MEMS resonators [J], IEEE Transactions on Fuzzy Systems, 2023, DOI: 10.1109/TFUZZ.2023.3331386, SCI1區(qū), IF11.9.

[2]  Fengyun Li, Shaohua Luo*, Shaobo He, Hassen M.Ouakad, Dynamical analysis and accelerated adaptive backstepping control of MEMS triaxial gyroscope with output constraints [J], Nonlinear Dynamics, 2023, 111:17123–17140, SCI2區(qū), IF5.6.

[3]  Fengyun Li, Shaohua Luo*, Guanci Yang, Hassen M.Ouakad, Dynamical analysis and accelerated adaptive backstepping funnel control for dual-mass MEMS gyroscope under event trigger[J], Chaos, Solitons and Fractals, 2023, 168: 113116, SCI1區(qū), IF9.922.

[4]  Shaohua Luo, Yongduan Song, Frank L. Lewis, Roberto Garrappa, Shaobo Li, Dynamic analysis and fuzzy fixed-time optimal synchronization control of unidirectionally coupled FO permanent magnet synchronous generator system [J], IEEE Transactions on Fuzzy Systems, 2022, DOI: 10.1109/TFUZZ.2022. 3213977, SCI1區(qū), IF12.253.

[5]Shenghai Zhang, Shaohua Luo*, Shaobo He, Hassen M. Ouakad, Analog circuit implementation and adaptive neural backstepping control of a network of four Duffing-type MEMS resonators with mechanical and electrostatic coupling [J], Chaos, Solitons and Fractals, 2022, 162:112534, SCI1區(qū), IF9.922.

[6]  Xuechun Hu, Shaohua Luo*, Xiaoxiang Hu, Shaobo He, Accelerated adaptive backstepping control based on the FWNN for the multiple PMSGs system with chaotic oscillations[J], International Journal of Control, Automation and Systems, 2023, SCI3區(qū), IF3.314.

[7] Shaohua Luo, Guanci Yang, Junyang Li, Hassen M.Ouakad, Dynamic analysis, circuit realization and accelerated adaptive backstepping control of the FO MEMS gyroscope[J], Chaos, Solitons and Fractals, 2022, 155:111735, SCI1區(qū), IF9.922.

[8] Shaohua Luo, Huanhuan Ma, Fengyun Li, Hassen M. Ouakad, Dynamical analysis and chaos control of MEMS resonators by using the analog circuit [J], Nonlinear Dynamics, 2022, 108(1):97-112, SCI2區(qū), IF5.741.

[9] Shaohua Luo, Yongduan Song, Frank L. Lewis, Roberto Garrappa, Neuro-adaptive optimal fixed-time synchronization and its circuit realization for unidirectionally coupled FO self-sustained electro-mechanical seismograph systems [J], IEEE Transactions on Cybernetics, 2021, DOI: 10.1109/TCYB.2021.3121069, SCI1區(qū), IF19.118.

[10] Shaohua Luo, Xuechun Hu, Le Zhao, Shaobo Li, Event-triggered neural adaptive backstepping control of the k chaotic PMSGs coupled system [J], International Journal of Electrical Power and Energy Systems, 2022, 135:107475, SCI2區(qū), IF5.659.

[11] Shaohua Luo, Frank L. Lewis, Yongduan Song, Roberto Garrappa, Dynamical analysis and accelerated optimal stabilization of the fractional-order self-sustained electromechanical seismograph system with fuzzy wavelet neural network [J], Nonlinear Dynamics, 2021, 104(2): 1389-1404, SCI2區(qū), IF5.022.

[12] Shaohua Luo, Frank L. Lewis, Yongduan Song, Hassen M. Ouakad, Optimal synchronization of unidirectionally coupled FO chaotic electromechanical devices with the hierarchical neural network [J], IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(3):1192-1202, SCI1區(qū), IF14.255.

[13]Le Zhao, Shaohua Luo*, Guanci Yang, Junyang Li, Accelerated Adaptive Backstepping Control of the chaotic MEMS Gyroscope by using the Type-2 Sequential FNN[J], Ingeniería e Investigación, 2021, 41(1):1-11, SCI4區(qū), IF0.627.

[14]Le Zhao, Shaohua Luo*, Guanci Yang, Rongzhi Dong, Chaos analysis and stability control of the MEMS resonator via the type-2 sequential FNN[J], Microsystem Technologies, 2021, 21(7): 173-182, SCI4區(qū), IF1.513.

[15] Shaohua Luo, Shaobo Li, Guanci Yang, Hassen M. Ouakad, Farzad Karami, Dynamical analysis and anti-oscillation-based adaptive control of the FO arch MEMS with optimality[J], Nonlinear Dynamics, 2020, 101(1),293-309, SCI2區(qū), IF4.864.

[16] Shaohua Luo, Frank L. Lewis, Yongduan Song, Hassen M. Ouakad, Accelerated adaptive fuzzy optimal control of three coupled fractional-order chaotic electromechanical transducers [J], IEEE Transactions on Fuzzy Systems, 2021, 29(7):1701-1714, SCI1區(qū), IF12.029.

[17] Shaohua Luo, Frank L. Lewis, Yongduan Song, Kyriakos G. Vamvoudakis, Adaptive backstepping optimal control of a fractional-order chaotic magnetic-field electromechanical transducer [J], Nonlinear Dynamics, 2020, 100(1): 523-540, SCI2區(qū), IF4.864.

[18] Shaohua Luo, Junyang Li, Shaobo Li, Jianjun Hu, Dynamical analysis of the fractional-order centrifugal flywheel governor system and its accelerated adaptive stabilization with the optimality [J], International Journal of Electrical Power and Energy Systems, 2020, 118: 105792, SCI2區(qū),IF4.418.

[19] Shaohua Luo, Shaobo Li, Farid Tajaddodianfar, Jianjun Hu, Anti-oscillation and chaos control of the fractional-order brushless DC motor system via adaptive echo state networks [J], Journal of the Franklin Institute, 2018, 355(14):6435-6453, SCI2區(qū), IF3.576.

[20] Shaohua Luo, Shaobo Li, Trandinh Phung, Jianjun Hu, Chaotic behavior and adaptive control of the arch MEMS resonator with state constraint and sector input [J], IEEE Sensors Journal, 2018, 18(17): 6986-6995, SCI3區(qū), IF2.617.

[21] Shaohua Luo, Ruizhen Gao, Chaos control of the permanent magnet synchronous motor with time-varying delay by using adaptive sliding mode control based on DSC [J], Journal of the Franklin Institute, 2018, 355(10):4147-4163, SCI2區(qū), IF3.576.

[22] Shaohua Luo, Shaobo Li, Farid Tajaddodianfar, Chaos and nonlinear feedback control of the arch micro-electro-mechanical system[J], Journal of Systems Science and Complexity, 2018, 31(6):1510-1524, SCI3區(qū), IF0.556.

[23] Shaohua Luo, Shaobo Li, Farid Tajaddodianfar, Jianjun Hu, Adaptive synchronization of the fractional-order chaotic arch micro-electro-mechanical system via Chebyshev neural network[J], IEEE Sensors Journal, 2018, 18(9): 3524-3532, SCI3區(qū), IF2.617.

[24] Shaohua Luo, Shaobo Li, Farid Tajaddodianfar, Jianjun Hu, Observer-based adaptive stabilization of the fractional-order chaotic MEMS resonator [J], Nonlinear Dynamics, 2018, 92(3): 1079-1089, SCI2區(qū), IF4.339.

[25] Shaohua Luo, Shaobo Li, Farid Tajaddodianfar, Adaptive chaos control of the fractional-order arch MEMS resonator[J], Nonlinear Dynamics, 2018, 91(1):539-547, SCI2區(qū), IF4.339.

[26] ShaohuaLuo, Yongduan Song, Chaos analysis-based adaptive backstepping control of the micro-electromechanical resonators with constrained output and uncertain time delay [J], IEEE Transactions on Industrial Electronics, 2016, 63(10):6217-6225, SCI1區(qū), IF7.168.

代表性發(fā)明專利

[1] 羅紹華, 李昊, 鄧光偉, 宋永端, 胡雪純. 具有事件觸發(fā)機制的弱耦合分數(shù)階MEMS諧振器加速預設性能控制[P], 中國發(fā)明專利. 202310020104.8

[2] Shaohua Luo, Shaobo Li, Junyang Li, Guanci Yang, Junxing Zhang, Fuzzy finite-time optimal synchronization control method for fractional-order permanent magnet synchronous generator [P], Invention patent of USA. US11616460B1.

[3] Shaohua Luo, Junyang Li, Xuechun Hu, Shaobo Li, Adaptive event-triggered control method for permanent magnet synchronous generator coupled chaotic network system [P], Invention patent of England. GB2597380

[4] 羅紹華, 胡雪純, 肖凱文, 趙樂, 楊觀賜. 永磁同步發(fā)電機耦合混沌網(wǎng)絡系統(tǒng)的自適應事件觸發(fā)控制方法[P], 中國發(fā)明專利. ZL202110525791.X.

[5] 張鈞星, 羅紹華, 李少波, 牛程程, 周鵬, 馮陳定, 趙樂. 一種永磁同步電機混沌系統(tǒng)自適應動態(tài)面控制方法[P], 中國發(fā)明專利. ZL201811324771.0.

[6] 羅紹華, 趙樂, 李俊陽, 李少波. 互耦分數(shù)階混沌機電換能器加速自適應模糊控制方法[P], 中國發(fā)明專利. ZL201910819126.4.

[7] 羅紹華, 馬歡歡, 張生海, 李楓韻, 李少波. MEMS諧振器自適應混沌控制電路及方法[P], 中國發(fā)明專利. ZL202110405685.8.

[8] 羅紹華, 趙樂, 張鈞星, 李少波. 具有磁滯特性的分數(shù)階靜電驅動微機電系統(tǒng)控制方法[P], 中國發(fā)明專利. ZL201910316228.4.

[9] 羅紹華, 李少波, 胡雪純, 宋永端, F. 路易斯. 具有約束的分數(shù)階自持式機電地震儀系統(tǒng)加速穩(wěn)定控制方法[P], 中國發(fā)明專利. ZL202010157834.9.

[10] 羅紹華，李少波，楊觀賜，周鵬. 一種分數(shù)階機械式離心調速器系統(tǒng)的加速自適應穩(wěn)定方法[P]. 中國發(fā)明專利. ZL201811520001.3.

[11] Shaohua Luo, Shaobo Li, Lv Yang, Guanci Yang, Accelerated stabilization control method of fractional-order self-sustained electromechanical seismograph system with constraints [P]. Invention patent of England. GB2585988.

[12] 張鈞星，羅紹華，王時龍，李少波，周鵬. 一種PMSM混沌系統(tǒng)神經(jīng)網(wǎng)絡反演控制方法[P]. 中國發(fā)明專利. ZL201910770168.3.

[13] 羅紹華，李少波，Y·塔德塞，胡建軍. 一種弧形微機電系統(tǒng)的自適應神經(jīng)網(wǎng)絡控制方法[P]. 中國發(fā)明專利. ZL201810263712.0.

[14] Shaohua Luo, Songli Wu, Zhiwei Hou, Suqun Cao, Trandinh Phung. An adaptive sliding-mode control method of the permanent magnet synchronous motor based on dynamic surface technology [P]. Invention patent of England. GB2572458.

[15] Shaohua Luo, Shaobo Li, Junxing Zhang, Guanci Yang. Accelerated adaptive stabilization method of the fractional-order mechanical centrifugal governor system [P]. Invention patent of South Africa. 2019/00821.

學術兼職

擔任國家自然科學基金委/教育部相關人才計劃評審專家、國家/省自然科學基金同行評議專家、教育部學位與研究生教育發(fā)展中心研究生學位論文（碩、博）評審專家、全國本科畢業(yè)論文（設計）抽檢評審專家、國內(nèi)外頂尖學術期刊IEEE Transactions on Industrial Electronics（SCI1區(qū)）, IEEE Transactions on Neural Networks and Learning Systems（SCI1區(qū)）, IEEE Transactions on Systems, Man and Cybernetics: Systems（SCI1區(qū)）, International Journal of Engineering Science（SCI1區(qū)）, Information Sciences（SCI1區(qū)）, Applied Mathematics and Computation（SCI1區(qū)）, Chaos, Solitons & Fractals（SCI1區(qū)）, Automation in Construction（SCI1區(qū)）, IEEE/ASME Transactions on Mechatronics（SCI1區(qū)）, Aerospace Science and Technology（SCI1區(qū)）, Nonlinear Dynamics（SCI2區(qū)）, International Journal of Electrical Power and Energy Systems（SCI2區(qū)）, Neurocomputing（SCI2區(qū)）, ISA Transactions（SCI2區(qū)）, International Journal of Robust and Nonlinear Control（SCI2區(qū)）, Engineering Applications of Artificial Intelligence（SCI2區(qū)）, IEEE Transactions on Circuits and Systems（SCI2區(qū)）, IEEE Sensors Journal（SCI2區(qū)）, Engineering Structures（SCI2區(qū)）和Technological Forecasting and Social Change（SSCI1區(qū)）等40本期刊的同行評議專家，是IEEE Member、中國自動化學會與中國人工智能學會會員、International Conference on Mechatronics and Mechanical Engineering聯(lián)席程序委員會主席和International Conference on Artificial Intelligence Technologies and Applications、International Conference on Electromechanical Control Technology and Transportation、National Conference on Optoelectronics, Photonic Materials and Devices等學術委員會委員。

學生培養(yǎng)

所培養(yǎng)學生獲研究生國家獎學金占比33%，獲省研究生科研基金占比21%，獲學校優(yōu)秀碩士論文占比42%，攻讀博士占比32%，入職500強企業(yè)占比34%。

國際合作與交流

與美國University of Texas、University of South Carolina、意大利University of Bari和阿曼Sultan Qaboos University等機構的學者保持良好的科研合作關系。