赵凯，教授/博导, 国家级青年人才，重庆青年拔尖人才。2019年6月于重庆大学获控制理论与控制工程专业博士学位。
教育及工作经历
2015-2019 重庆大学， 工学博士
2017-2018 澳大利亚纽卡斯尔大学 联合培养博士生
2019-2021 澳门大学， 博士后
2021-2023 新加坡国立大学，研究员
2023-至今 重庆大学，教授
专业领域：
非线性控制；机器人控制及应用
主要研究方向：
自适应控制；状态约束控制；预设性能控制；机器人系统
学术兼职
现担任Journal of Automation and Intelligence青年编委；长期担任多部国际学术期刊审稿人，包括：IEEE Trans. Automatic Control, Automatica, Systems & Control Letters, IEEE/CAA Journal of Automatica Sinica, IEEE Trans. Systems, Man, and Cybernetics: Systems, IEEE Trans. Cybernetics, IEEE Trans. Intelligent Transportation Systems, IEEE Trans. Neural Networks and Learning Systems, IEEE Trans. Automation Science and Engineering, International Journal of Robust and Nonlinear Control。
学术荣誉
2023年入选国家级青年人才
2022年入选重庆英才青年拔尖人才
2022年IEEE Trans. Cybernetics杰出审稿人
2020年中国自动化学会优秀博士学位论文（提名）奖
2020年重庆市优秀博士学位论文奖
2019年澳门特区政府濠江学者博士后A等资助
科研情况简介：
先后主持与参与国家自然科学基金重点项目、国家重点实验室开放课题、新加坡淡马锡实验室项目、澳门特区政府项目6项，主要围绕复杂系统智能控制、人工智能驱动下的控制理论以及机器人等自主无人系统应用研究，长期以来紧密围绕系统自主避障、安全控制和预定性能控制展开研究。目前为止，申请人共发表SCI论文30 余篇，包括IEEE会刊和Automatica 20篇；近五年 Google 学术引用量达 1500 余次，其中ESI 前 1%高被引论文 5 篇，单篇引用 100 次以上论文 5 篇；专著 1 部，授权发明专利 2 项。
论文及专著：
（一）专著
[1] 宋永端，赵凯，周淑燕，非线性系统控制设计与分析，科学出版社，2022年8月
（二）论文（选录）
[2] L. Li, K. Zhao(赵凯, 通讯作者), Z. Zhang, and Y. D. Song, “Dual-channel event-triggered robust adaptive control of strict-feedback system with flexible prescribed performance,” IEEE Trans. Automatic Control, doi: 10.1109/TAC.2023.3328167, 2023
[3] K. Zhao(赵凯), F. L. Lewis, and L. Zhao, “Unifying performance specifications in tracking control of MIMO nonlinear systems with actuation faults,” Automatica, 155, Article 111102, 2023
[4] K. Zhao(赵凯), Y. D. Song, C. L. Philip Chen, and L. Chen, “Adaptive asymptotic tracking with global performance for nonlinear systems with unknown control directions,” IEEE Trans. Automatic Control, 67(3), pp. 1566-1573, 2022
[5] K. Zhao(赵凯), Y. D. Song, C. L. Philip Chen, and L. Chen, “Control of nonlinear systems under dynamic constraints: A unified barrier function-based approach,” Automatica, vol. 56, no. 9, pp. 1-9, 2020
[6] K. Zhao(赵凯), and Y. D. Song, “Removing the feasibility conditions imposed on tracking control designs for state-constrained strict-feedback systems,” IEEE Trans. Automatic Control, vol. 64, no. 3, pp. 1265-1272, 2019
[7] K. Zhao(赵凯), Y. D. Song, and Z. Zhang, “Tracking control of MIMO nonlinear systems under full state constraints: A single-parameter adaptation approach free from feasibility conditions,” Automatica, vol. 55, no. 8, pp. 52-60, 2019
[8] Y. D. Song, K. Zhao(赵凯), and M. Krstic, “Adaptive control with exponential regulation in the absence of persistent excitation,” IEEE Trans. Automatic Control, vol. 62, no. 5, pp. 2589-2596, 2017
[9] Y. D. Song, B. B. Zhang, and K. Zhao(赵凯), “Indirect neuroadaptive control of unknown MIMO systems tracking uncertain target under sensor failures,” Automatica, vol. 77, no. 3, pp. 103-111, 2017
[10] Z. Zhang, C. Wen, K. Zhao(赵凯), and Y. Song, “Decentralized adaptive control of uncertain interconnected systems with triggering state signals,” Automatica, 141:110283, 2022
[11] K. Zhao(赵凯), Y. D. Song, J. Qian, and J. Fu, “Zero-error tracking control with pre-assignable convergence mode for nonlinear systems under nonvanishing uncertainties and unknown control direction,” Systems & Control Letters, vol. 115, no. 5, pp. 34-40, 2018
[12] K. Zhao(赵凯), L. Chen, W. Meng, and L. Zhao, “Unified mapping function-based neuro-adaptive control of constrained uncertain robotic systems,” IEEE Trans. Cybernetics, 53(6), pp. 3665-3674, 2023
[13] K. Zhao(赵凯), and Y. D. Song, “Neuroadaptive robotic control under time-varying asymmetric motion constraints: A feasibility-condition-free approach,” IEEE Trans. Cybernetics, vol. 50, no. 1, pp. 15-24, 2020
[14] K. Zhao(赵凯), Y. D. Song, and Z. Shen, “Neuro-adaptive fault-tolerant control of nonlinear systems under output constraints and actuation faults,” IEEE Trans. Neural Networks and Learning Systems, vol. 29, no. 2, pp. 286-298, 2018
[15] K. Zhao(赵凯), Y. D. Song, T. D. Ma, and L. He, “Prescribed performance control of uncertain Euler-Lagrange systems subject to full-state constraints,” IEEE Trans. Neural Networks and Learning Systems, vol. 29, no. 8, pp. 3478-3489, 2018
[16] K. Zhao(赵凯), Y. D. Song, W. Meng, C. L. Philip Chen, and L. Chen, “Low-cost approximation-based adaptive tracking control of output-constrained nonlinear systems,” IEEE Trans. Neural Networks and Learning Systems, 32(11), pp. 4890-4900, 2021
[17] K. Zhao(赵凯), and J. W. Chen, “Adaptive neural quantized control of MIMO nonlinear systems under actuation faults and time-varying output constraints,” IEEE Trans. Neural Networks and Learning Systems, vol. 31, no. 9, pp. 3471-3481, 2020
[18] K. Zhao(赵凯), C. Wen, Y. Song, and F. L. Lewis, “Adaptive uniform performance control of strict-feedback nonlinear systems with time-varying control gain,” IEEE/CAA Journal of Automatica Sinica, 10(2), pp. 1-11, 2023
联系方式：
zhaokai@cqu.edu.cn; kevin421375@gmail.com;
重庆大学虎溪校区信息技术大楼
