个人信息
刘冲
系所:人工智能与自动化系
职称:讲师
职务:
学科:控制科学与工程
电话:
电子邮箱: liuchong_hebei@126.com

办公地点:

研究方向: 自适应最优控制理论及其应用
教育背景
2015.09-2020.10,东北大学,控制理论与控制工程,博士
2012.09-2015.04,长春理工大学,电子科学与技术,硕士
2007.09-2011.06,内蒙古师范大学,电子信息工程,学士
工作经历
2021.01-至今,西安建筑科技大学,信息与控制工程学院人工智能与自动化系,讲师
主讲课程
控制科学与工程学科前沿专题
项目经历
(1)国家自然科学基金委员会,青年科学基金项目,62103316,基于回声状态网的自适应动态规划方法研究,2022.01-2024.12,30万,在研,主持人
(2)国家自然科学基金委员会,面上项目,52178055,水土生态涵养视角下的黄土沟壑区城市空间布局韧性模式与规划方法,2022.01-2025.12,68万,在研,参与人
(3)西安建筑科技大学,学科交叉研究导师组,20220085,超高组合结构风机塔一体化智能优化设计研究,2022.03-2024.03,15万,在研,参与导师
学术成果
一、发明专利
(1)刘冲,刘帅,杨明,郭玉清,张骞;发明专利名称:车辆控制方法和装置;申请年份:2018;申请号:201711403419.1;批准年份:2020;专利号:ZL201711403419.1。
(2)孟扬,刘冲,刘帅,杨明,张骞;发明专利名称:预测位置的方法、装置、存储介质及电子设备;申请年份:2018;申请号:201811379178.6;批准年份:2021;专利号:ZL201811379178.6。
(3)孟扬,刘冲,张骞,杨明,张静波;发明专利名称:一种车辆控制方法及装置;申请年份:2018;申请号:201811603069.8;实质审查阶段。
(4)孟扬,刘冲,张骞,刘帅,杨明;发明专利名称:车辆的控制方案生成方法、装置、存储介质和电子设备;申请年份:2018;申请号:201811224793.X;实质审查阶段。
二、学术论文
(1)Liu Chong, Zhang Huaguang, Luo Yanhong and Su Hanguang. Dual Heuristic Programming for Optimal Control of Continuous-Time Nonlinear Systems Using Single Echo State Network, IEEE Transactions on Cybernetics, 2022, 52(3): 1701-1712. (已发表, SCI, JCR一区, 中科院一区, IF:11.448)
(2)Zhang Huaguang, Liu Chong, Su Hanguang, and Zhang Kun. Echo State Network-Based Decentralized Control of Continuous-Time Nonlinear Large-Scale Interconnected Systems, IEEE Transactions on Systems, Man and Cybernetics: Systems, 2021, 51(10): 6293-6303. (已发表, SCI, 导师一作, JCR一区, 中科院一区, IF: 13.451)
(3)Liu Chong, Zhang Huaguang, Xiao Geyang, and Sun Shaoxin. Integral Reinforcement Learning Based Decentralized Optimal Tracking Control of Unknown Nonlinear Large-Scale Interconnected Systems with Constrained-Input, Neurocomputing, 2019, 323: 1-11.(已发表, SCI, JCR一区, 中科院二区, IF: 5.719)
(4)Liu Chong, Zhang Huaguang, Sun Shaoxin and Ren He. Online $H_\infty$ Control for Continuous-Time Nonlinear Large-Scale Systems via Single Echo State Network, Neurocomputing, 2021, 448: 353-363. (已发表, SCI, JCR一区, 中科院二区, IF: 5.719)
(5)Liu Chong, Zhang Huaguang, Luo Yanhong and Zhang Kun. Echo State Network-Based Online Optimal Control for Discrete-Time Nonlinear Systems, Applied Mathematics and Computation, 2021, 409: 126324.(已发表, SCI, JCR一区, 中科院二区, IF: 4.091)
(6)Liu Chong, Zhang Huaguang, Ren He and Liang Yuling. An Analysis of IRL-Based Optimal Tracking Control of Unknown Nonlinear Systems with Constrained Input, Neural Processing Letters. 2019: 1-20.(已发表, SCI, JCR二区, 中科院三区, IF: 2.908)
(7)Liu Chong, Zhang Huaguang, Yao Xianshuang, and Zhang Kun. Echo State Networks with Double-Reservoir for Time-Series Prediction, Seventh International Conference on Intelligent Control & Information Processing, IEEE, 2017.(已发表, EI,会议)
(8)刘冲,刘鹏,王晓曼,等.激光测量中自适应衰减控制技术的研究[J], 吉林大学学报(信息科学版), 2014, 32(4): 395-400.
(9)Zhang Huaguang, Sun Shaoxin, Liu Chong and Zhang Kun. A Novel Approach to Observer-based Fault Estimation and Fault-Tolerant Controller Design for TS Fuzzy Systems with Multiple Time Delays, IEEE Transactions on Fuzzy Systems, 2020, 28(8): 1679-1693.(三作, 已发表, SCI, JCR一区, 中科院一区, IF:12.029)
(10)Su Hanguang, Zhang Huaguang, Liang Xiaodong and Liu Chong. Decentralized Event-Triggered Online Adaptive Control of Unknown Large-Scale Systems Over Wireless Communication Networks, IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(11): 4907-4919.(四作, 已发表, SCI, JCR一区, 中科院一区, IF: 10.451)
(11)Zhang Huaguang, Liang Yuling, Su Hanguang and Liu Chong. Event-Driven Guaranteed Cost Control Design for Nonlinear Systems With Actuator Faults via Reinforcement Learning Algorithm, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 50(11): 4135-4150.(四作, 已发表, SCI, JCR一区, 中科院二区, IF: 13.451)
(12)Zhang Kun, Zhang Huaguang, Mu Yunfei and Liu Chong. Decentralized Tracking Optimization Control for Partially Unknown Fuzzy Interconnected Systems via Reinforcement Learning Method, IEEE Transactions on Fuzzy Systems, 2021, 29(4): 917-926.(四作, 已发表, SCI, JCR一区, 中科院一区, IF: 12.029)
社会兼职
中国自动化学会自适应动态规划与强化学习专业委员会委员
中国自动化学会会员
中国人工智能学会会员
个人信息
姓 名: 刘冲 民 族: 籍 贯: 河北邢台
职 称: 讲师 职 务: 政治面貌: 中共党员
部 门: 人工智能与自动化系 电子邮箱: liuchong_hebei@126.com
所属学科: 控制科学与工程
硕士培养方向: 控制科学与工程、电子信息
研究方向: 自适应最优控制理论及其应用
教育背景
2015.09-2020.10,东北大学,控制理论与控制工程,博士
2012.09-2015.04,长春理工大学,电子科学与技术,硕士
2007.09-2011.06,内蒙古师范大学,电子信息工程,学士
工作经历
2021.01-至今,西安建筑科技大学,信息与控制工程学院人工智能与自动化系,讲师
主讲课程
控制科学与工程学科前沿专题
项目经历
(1)国家自然科学基金委员会,青年科学基金项目,62103316,基于回声状态网的自适应动态规划方法研究,2022.01-2024.12,30万,在研,主持人
(2)国家自然科学基金委员会,面上项目,52178055,水土生态涵养视角下的黄土沟壑区城市空间布局韧性模式与规划方法,2022.01-2025.12,68万,在研,参与人
(3)西安建筑科技大学,学科交叉研究导师组,20220085,超高组合结构风机塔一体化智能优化设计研究,2022.03-2024.03,15万,在研,参与导师
学术成果
一、发明专利
(1)刘冲,刘帅,杨明,郭玉清,张骞;发明专利名称:车辆控制方法和装置;申请年份:2018;申请号:201711403419.1;批准年份:2020;专利号:ZL201711403419.1。
(2)孟扬,刘冲,刘帅,杨明,张骞;发明专利名称:预测位置的方法、装置、存储介质及电子设备;申请年份:2018;申请号:201811379178.6;批准年份:2021;专利号:ZL201811379178.6。
(3)孟扬,刘冲,张骞,杨明,张静波;发明专利名称:一种车辆控制方法及装置;申请年份:2018;申请号:201811603069.8;实质审查阶段。
(4)孟扬,刘冲,张骞,刘帅,杨明;发明专利名称:车辆的控制方案生成方法、装置、存储介质和电子设备;申请年份:2018;申请号:201811224793.X;实质审查阶段。
二、学术论文
(1)Liu Chong, Zhang Huaguang, Luo Yanhong and Su Hanguang. Dual Heuristic Programming for Optimal Control of Continuous-Time Nonlinear Systems Using Single Echo State Network, IEEE Transactions on Cybernetics, 2022, 52(3): 1701-1712. (已发表, SCI, JCR一区, 中科院一区, IF:11.448)
(2)Zhang Huaguang, Liu Chong, Su Hanguang, and Zhang Kun. Echo State Network-Based Decentralized Control of Continuous-Time Nonlinear Large-Scale Interconnected Systems, IEEE Transactions on Systems, Man and Cybernetics: Systems, 2021, 51(10): 6293-6303. (已发表, SCI, 导师一作, JCR一区, 中科院一区, IF: 13.451)
(3)Liu Chong, Zhang Huaguang, Xiao Geyang, and Sun Shaoxin. Integral Reinforcement Learning Based Decentralized Optimal Tracking Control of Unknown Nonlinear Large-Scale Interconnected Systems with Constrained-Input, Neurocomputing, 2019, 323: 1-11.(已发表, SCI, JCR一区, 中科院二区, IF: 5.719)
(4)Liu Chong, Zhang Huaguang, Sun Shaoxin and Ren He. Online $H_\infty$ Control for Continuous-Time Nonlinear Large-Scale Systems via Single Echo State Network, Neurocomputing, 2021, 448: 353-363. (已发表, SCI, JCR一区, 中科院二区, IF: 5.719)
(5)Liu Chong, Zhang Huaguang, Luo Yanhong and Zhang Kun. Echo State Network-Based Online Optimal Control for Discrete-Time Nonlinear Systems, Applied Mathematics and Computation, 2021, 409: 126324.(已发表, SCI, JCR一区, 中科院二区, IF: 4.091)
(6)Liu Chong, Zhang Huaguang, Ren He and Liang Yuling. An Analysis of IRL-Based Optimal Tracking Control of Unknown Nonlinear Systems with Constrained Input, Neural Processing Letters. 2019: 1-20.(已发表, SCI, JCR二区, 中科院三区, IF: 2.908)
(7)Liu Chong, Zhang Huaguang, Yao Xianshuang, and Zhang Kun. Echo State Networks with Double-Reservoir for Time-Series Prediction, Seventh International Conference on Intelligent Control & Information Processing, IEEE, 2017.(已发表, EI,会议)
(8)刘冲,刘鹏,王晓曼,等.激光测量中自适应衰减控制技术的研究[J], 吉林大学学报(信息科学版), 2014, 32(4): 395-400.
(9)Zhang Huaguang, Sun Shaoxin, Liu Chong and Zhang Kun. A Novel Approach to Observer-based Fault Estimation and Fault-Tolerant Controller Design for TS Fuzzy Systems with Multiple Time Delays, IEEE Transactions on Fuzzy Systems, 2020, 28(8): 1679-1693.(三作, 已发表, SCI, JCR一区, 中科院一区, IF:12.029)
(10)Su Hanguang, Zhang Huaguang, Liang Xiaodong and Liu Chong. Decentralized Event-Triggered Online Adaptive Control of Unknown Large-Scale Systems Over Wireless Communication Networks, IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(11): 4907-4919.(四作, 已发表, SCI, JCR一区, 中科院一区, IF: 10.451)
(11)Zhang Huaguang, Liang Yuling, Su Hanguang and Liu Chong. Event-Driven Guaranteed Cost Control Design for Nonlinear Systems With Actuator Faults via Reinforcement Learning Algorithm, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 50(11): 4135-4150.(四作, 已发表, SCI, JCR一区, 中科院二区, IF: 13.451)
(12)Zhang Kun, Zhang Huaguang, Mu Yunfei and Liu Chong. Decentralized Tracking Optimization Control for Partially Unknown Fuzzy Interconnected Systems via Reinforcement Learning Method, IEEE Transactions on Fuzzy Systems, 2021, 29(4): 917-926.(四作, 已发表, SCI, JCR一区, 中科院一区, IF: 12.029)
社会兼职
中国自动化学会自适应动态规划与强化学习专业委员会委员
中国自动化学会会员
中国人工智能学会会员

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