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分類:導(dǎo)師信息 來源:貴州大學(xué)機(jī)械工程學(xué)院研究生院 2019-07-01 相關(guān)院校:貴州大學(xué)
貴州大學(xué)機(jī)械工程學(xué)院研究生導(dǎo)師羅紹華介紹如下:
羅紹華,博士(后),副教授,碩士生導(dǎo)師。主要從事特種機(jī)電系統(tǒng)設(shè)計(jì)與智能控制、非線性系統(tǒng)動(dòng)力學(xué)分析與智能控制等方面研究。以第一作者在國(guó)內(nèi)外知名期刊發(fā)表學(xué)術(shù)論文23篇,論文SCI他引50余次,獲授權(quán)發(fā)明專利3項(xiàng)(包括國(guó)際專利)和省市級(jí)獎(jiǎng)3項(xiàng),主持國(guó)家自然科學(xué)基金、中國(guó)博士后基金等8項(xiàng)縱向課題,具有4年國(guó)企與外資工程師的經(jīng)歷。在國(guó)際合作方面,已與University of Texas和University of South Carolina的相關(guān)人員進(jìn)行了實(shí)質(zhì)性合作。
Email:shluo@gzu.edu.cn
講授課程:《先進(jìn)制造技術(shù)》、《測(cè)試技術(shù)》等
招生專業(yè):080202機(jī)械電子工程、080201機(jī)械制造及其自動(dòng)化、080203機(jī)械設(shè)計(jì)及理論
研究領(lǐng)域:特種機(jī)電系統(tǒng)設(shè)計(jì)與控制、非線性系統(tǒng)動(dòng)力學(xué)分析與控制、人工智能理論及在機(jī)電系統(tǒng)中的應(yīng)用。
社會(huì)兼職:承擔(dān)國(guó)家、省自然科學(xué)基金,國(guó)內(nèi)外期刊IEEE Transactions on Industrial Electronics,IEEE Transactions on Neural Networks and Learning Systems,Nonlinear Dynamics,IEEE/ASME Transactions on Mechatronics,Neurocomputing,IEEE Transactions on Circuits and Systems,Aerospace Science and Technology,Neural Computing and Applications,International Journal of Adaptive Control and Signal Processing,IEEE Sensors Journal,International Journal of Control,European Transactions on Electrical Power, Journal of the Brazilian Society of Mechanical Sciences and Engineering,Iranian Journal of Science and Technology,Journal of the Chinese Institute of Engineers等同行評(píng)審。
近3年部分代表性論文:
[1]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.
[2]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.
[3]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.
[4]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.
[5]Shaohua Luo, Shaobo Li, Farid Tajaddodianfar, Chaos and adaptive control of the fractional-order magnetic-field electromechanical transducer[J], International Journal of Bifurcation and Chaos, 2017, 27(13):1750203.
[6]Shaohua Luo, Shaobo Li, Farid Tajaddodianfar, Adaptive chaos control of the fractional-order arch MEMS resonator[J], Nonlinear Dynamics, 2017, 91(1):539-547.
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