• Gender:Male
• Education Level:Graduate student graduate
• Alma Mater:江南大学
• Degree:Doctorate
• Status:在岗
• School/Department:计算机科学与技术学院
• Date of Employment:2024-03-14
• Business Address:21幢 5-2-1
• E-Mail:1e26a2609928dc0f4cda933faa88f0e0c58d75bc5c6f0d6c1fd7e9315cdc3f460ec067445a65db999952c6e83117dcb8bc04dc98d9b4a4d798884d8ae7eba76e8bd13f18f32db3140ef20d406d797899ee507dd173748acb473d42ae8adfdfae36146964ef555a93f4b2446fa5a08bd40a5b5d2af8577ab504904c58490f754c

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潘志超，1995年出生，博士，浙江师范大学计算机学院讲师。主持国家自然科学基金青年基金项目1项。研究方向为动态系统的状态估计与故障诊断、Koopman算子、深度学习、变分贝叶斯推断。

主要论文：

[1] Pan, Z., Zhao, S., Huang, B., & Liu, F. (2023). Confidence set-membership FIR filter for discrete time-variant systems. Automatica, 157, 111231. (Regular paper)

[2] Pan, Z., Liu, S., Huang, B., & Liu, F. (2024). Zonotopic set-membership state estimation for nonlinear systems based on the deep Koopman operator. Neurocomputing, 129004.

[3] Pan, Z., Luan, X., & Liu, F. (2022). Confidence set-membership state estimation for LPV systems with inexact scheduling variables. ISA Transactions, 122, 38-48.

[4] Pan, Z., Huang, B., & Liu, F. (2022). Moving horizon estimation for bounded noises based on the set-membership approach. Journal of Process Control, 119, 25-33.

[5] Pan, Z., & Liu, F. (2023). Nonlinear set‐membership state estimation based on the Koopman operator. International Journal of Robust and Nonlinear Control, 33(4), 2703-2721.

[6] Pan, Z., Luan, X., & Liu, F. (2022). Set-membership state and parameter estimation for discrete time-varying systems based on the constrained zonotope. International Journal of Control, 96(12):3226-3238. 

[7] Pan, Z., Huang, B., & Liu, F. (2023, December). A Koopman operator-based finite impulse response filter for nonlinear systems. In 62nd IEEE Conference on Decision and Control (IEEE-CDC)（pp:2159-2165）. 

[8] Liu, S., Yin, X., Pan, Z., & Liu, J. (2023). A sensitivity-based approach to optimal sensor selection for complex processes. Chemical Engineering Science, 118901. 

[9] Zhang, H., Pan, Z., & Liu, F. (2022, August). Set-membership estimation for industrial processes with uncertain scheduling parameters. In 2022 IEEE International Symposium on Advanced Control of Industrial Processes (AdCONIP) (pp. 325-330). IEEE.

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