任長娥，女，博士，首都師範大學信息工程學院講師，碩士生導師。
基本介紹
- 中文名：任長娥
- 職業：教師
- 畢業院校：澳門大學
- 學位/學歷：博士
- 專業方向：機器學習、人工智慧、多智慧型體協同控制、最佳化控制、非線性系統
- 任職院校：首都師範大學信息工程學院
- 職稱：講師
研究方向,個人經歷,榮譽獎項,學術成果,論文,項目,
研究方向
機器學習、人工智慧、多智慧型體協同控制、最佳化控制、非線性系統等。
個人經歷
2016年畢業於澳門大學，獲得軟體工程專業博士學位。
學術活動
1.現擔任多個SCI期刊審稿人，期刊包括IEEE Transactions on Fuzzy Systems、 IEEE Transactions on Industrial Electronics、IEEE Transactions on Cybernetics、 Fuzzy sets and Systems、IET Control Theory & Applications 、Neurocomputing、International Journal of Systems Science、 Structural Engineering International、International Journal of Automation and Computing、 International Journal of Fuzzy systems等。
2.連續兩年擔任國際會議International Conference on Information and Cybernetics for Computational Social Systems的Special Session Chair
2.連續兩年擔任國際會議International Conference on Information and Cybernetics for Computational Social Systems的Special Session Chair
榮譽獎項
1.2017年入選首都師範大學“青年燕京學者培育對象”。
2.碩士學位論文《基於高增益觀測器非線性系統的模糊自適應Backstepping輸出反饋控制》獲2011年遼寧省百篇優秀碩士論文。
3.博士期間因科研成果突出，獲得2016年澳門特別行政區科技研發獎。註：此獎每兩年評選一次，碩士研究生和博士研究生全澳總共評選20人。
4.Best Conference Paper of 2015 International Conference on Fuzzy Theory and Its Applications.
2.碩士學位論文《基於高增益觀測器非線性系統的模糊自適應Backstepping輸出反饋控制》獲2011年遼寧省百篇優秀碩士論文。
3.博士期間因科研成果突出，獲得2016年澳門特別行政區科技研發獎。註：此獎每兩年評選一次，碩士研究生和博士研究生全澳總共評選20人。
4.Best Conference Paper of 2015 International Conference on Fuzzy Theory and Its Applications.
學術成果
論文
1.Chang-E Ren, Long Chen, C. L. Philip Chen. “Adaptive fuzzy leader-following consensus control for stochastic multi-agent systems with heterogeneous nonlinear dynamics.” Fuzzy Systems, IEEE Transactions on
2.Chen, C., Chang-E. Ren, and Tao Du. “Fuzzy observed-based adaptive consensus tracking control for second-order multi-agent systems with heterogeneous nonlinear dynamics.” Fuzzy Systems, IEEE Transactions on
3.Ren, Chang-E., and C. L. Philip Chen. “Sliding mode leader-following consensus controllers for second-order non-linear multi-agent systems.” IET Control Theory & Applications (2015)
4.Chang-E Ren, Long Chen, C. L. Philip Chen, Tao Du. “Quantized consensus control for second-order multi-agent systems with nonlinear dynamics.” Neurocomputing
5.Ren, Chang’e, Shaocheng Tong, and Yongming Li. “Fuzzy adaptive high-gain-based observer backstepping control for SISO nonlinear systems with dynamical uncertainties.” Nonlinear Dynamics
6.Li, Yongming, Chang’e Ren, and Shaocheng Tong. “Adaptive fuzzy backstepping output feedback control for a class of MIMO time-delay nonlinear systems based on high-gain observer.” Nonlinear Dynamics
7.Li, Yongming, Chang’e Ren, and Shaocheng Tong. “Adaptive fuzzy backstepping output feedback control of nonlinear uncertain time-delay systems based on high-gain filters.” Nonlinear Dynamics
8.Tong, ShaoCheng, Chang’e Ren, and YongMing Li. “Adaptive fuzzy decentralized control for nonlinear large-scale systems based on high-gain observer.” Science China Information Sciences
9.Chang'e Ren, Yongming Li and Shaocheng Tong. “Fuzzy Adaptive Backstepping Output Feedback Control for A Class of MIMO Nonlinear Systems Based On High-Gain Observer.” ICIC Express Letters 2011
10.Chang'e Ren， Shaocheng Tong and Yongming Li, “Adaptive fuzzy decentralized control for nonlinear large-scale systems based on high-gain observer,” Control and Decision Conference (CCDC), 2011 Chinese
11.Ren, Chang’e, and C. L. Chen. “Decentralized Control for Second-Order Uncertain Nonlinear Multi-agent Systems Consensus Problem Based on Fuzzy Adaptive High-Gain Observer.” Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on.
12.Chang-E Ren, Long Chen and C. L. Chen. “Adaptive Consensus Control for Nonlinear Multi-Agent Systems.” 2015 International Conference on Fuzzy Theory and Its Applications, Taiwan.
13.Chang-E Ren, C. L. Philip Chen,Long Chen "Consensus control for nonlinear multi-agent systems with packet dropouts and measurement noises," 2016 3rd International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS), Jinzhou
14.任長娥,佟紹成. “基於高增益觀測器的 SISO 非線性系統模糊自適應輸出反饋控制”. 遼寧工業大學學報: 自然科學版
15.任長娥,陳俊龍. “基於滑模變結構控制的多智慧型體系統的協同控制研究綜述”. 中國自動化學會通訊
2.Chen, C., Chang-E. Ren, and Tao Du. “Fuzzy observed-based adaptive consensus tracking control for second-order multi-agent systems with heterogeneous nonlinear dynamics.” Fuzzy Systems, IEEE Transactions on
3.Ren, Chang-E., and C. L. Philip Chen. “Sliding mode leader-following consensus controllers for second-order non-linear multi-agent systems.” IET Control Theory & Applications (2015)
4.Chang-E Ren, Long Chen, C. L. Philip Chen, Tao Du. “Quantized consensus control for second-order multi-agent systems with nonlinear dynamics.” Neurocomputing
5.Ren, Chang’e, Shaocheng Tong, and Yongming Li. “Fuzzy adaptive high-gain-based observer backstepping control for SISO nonlinear systems with dynamical uncertainties.” Nonlinear Dynamics
6.Li, Yongming, Chang’e Ren, and Shaocheng Tong. “Adaptive fuzzy backstepping output feedback control for a class of MIMO time-delay nonlinear systems based on high-gain observer.” Nonlinear Dynamics
7.Li, Yongming, Chang’e Ren, and Shaocheng Tong. “Adaptive fuzzy backstepping output feedback control of nonlinear uncertain time-delay systems based on high-gain filters.” Nonlinear Dynamics
8.Tong, ShaoCheng, Chang’e Ren, and YongMing Li. “Adaptive fuzzy decentralized control for nonlinear large-scale systems based on high-gain observer.” Science China Information Sciences
9.Chang'e Ren, Yongming Li and Shaocheng Tong. “Fuzzy Adaptive Backstepping Output Feedback Control for A Class of MIMO Nonlinear Systems Based On High-Gain Observer.” ICIC Express Letters 2011
10.Chang'e Ren， Shaocheng Tong and Yongming Li, “Adaptive fuzzy decentralized control for nonlinear large-scale systems based on high-gain observer,” Control and Decision Conference (CCDC), 2011 Chinese
11.Ren, Chang’e, and C. L. Chen. “Decentralized Control for Second-Order Uncertain Nonlinear Multi-agent Systems Consensus Problem Based on Fuzzy Adaptive High-Gain Observer.” Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on.
12.Chang-E Ren, Long Chen and C. L. Chen. “Adaptive Consensus Control for Nonlinear Multi-Agent Systems.” 2015 International Conference on Fuzzy Theory and Its Applications, Taiwan.
13.Chang-E Ren, C. L. Philip Chen,Long Chen "Consensus control for nonlinear multi-agent systems with packet dropouts and measurement noises," 2016 3rd International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS), Jinzhou
14.任長娥,佟紹成. “基於高增益觀測器的 SISO 非線性系統模糊自適應輸出反饋控制”. 遼寧工業大學學報: 自然科學版
15.任長娥,陳俊龍. “基於滑模變結構控制的多智慧型體系統的協同控制研究綜述”. 中國自動化學會通訊
項目
1.2018年獲批國家自然科學基金-青年基金項目
2.2017年獲批北京市組織部“北京市優秀人才-青年骨幹項目”
3.2018年獲批北京市教委一般項目
4.國家自然科學基金資助項目《新型進化計算與深度學習方法在疾病預防與控制》
5.國家自然科學基金資助項目《限制水域船舶通航安全智慧型評估方法研究》
6.國家自然科學基金資助項目《基於動態面和通用逼近器的MIMO系統魯棒自適應設計及其船舶運動控制套用》
7.遼寧省自然科學基金《基於船舶航跡控制的限制水域船舶通航安全研究》
8.澳門科技發展基金 Novel Wireless Positioning Technology for Weak Signal Condition in Assisted Global Positioning Systems
9.多項澳門大學多年研究項目
2.2017年獲批北京市組織部“北京市優秀人才-青年骨幹項目”
3.2018年獲批北京市教委一般項目
4.國家自然科學基金資助項目《新型進化計算與深度學習方法在疾病預防與控制》
5.國家自然科學基金資助項目《限制水域船舶通航安全智慧型評估方法研究》
6.國家自然科學基金資助項目《基於動態面和通用逼近器的MIMO系統魯棒自適應設計及其船舶運動控制套用》
7.遼寧省自然科學基金《基於船舶航跡控制的限制水域船舶通航安全研究》
8.澳門科技發展基金 Novel Wireless Positioning Technology for Weak Signal Condition in Assisted Global Positioning Systems
9.多項澳門大學多年研究項目
