王业政，男，2024年6月毕业于山东科技大学控制理论与控制工程专业，博士导师为王子栋教授，曾于2023年2月至2024年1月到英国伦敦布鲁内尔大学进行为期一年的联合培养。2024年7月入职南京信息工程大学自动化学院，目前主要从事网络化非线性系统、T-S模糊系统、模糊PID控制、PI估计、多智能体控制等方面的研究。已在IEEE Transactions on Fuzzy Systems、IEEE Transactions on Cybernetics等国际知名期刊发表多篇学术论文。曾获博士研究生国家奖学金（2023）、国际期刊Neurocomputing杰出审稿人（2023）等荣誉与称号。现任IEEE Transactions on Cybernetics，IEEE/CAA Journal of Automatica Sinica等多个国际刊物的审稿人。
招收专业硕士，欢迎对科研感兴趣的同学报考~~~~~~
取得的学术成果：
第一作者论文：
[1] Y. Wang, L. Zou*, Z. Zhao and X. Bai, H-infinity fuzzy PID control for discrete time-delayed T-S fuzzy systems, Neurocomputing, vol. 332, pp. 91-99, Mar. 2019, DOI:10.1016/j.neucom.2018.12.002.
[2] Y. Wang, Z. Wang*, L. Zou and H. Dong, H-infinity PID control for discrete-time fuzzy systems with infinite-distributed delays under Round-Robin communication protocol, IEEE Transactions on Fuzzy Systems, vol. 30, no. 6, pp. 1875-1888,Jun. 2022, DOI:10.1109/TFUZZ.2021.3069329.
[3] Y. Wang, Z. Wang*, L. Zou and H. Dong, Multiloop decentralized H-infinity fuzzy PID-like control for discrete time-delayed fuzzy systems under dynamical event-triggered schemes, IEEE Transactions on Cybernetics, vol. 52, no. 8, pp. 7931-7943, Aug. 2022, DOI:10.1109/TCYB.2020.3025251.
[4] Y. Wang, Z. Wang*, L. Zou and H. Dong, H-infinity proportional-integral state estimation for T-S fuzzy systems over randomly delayed redundant channels with partly known probabilities, IEEE Transactions on Cybernetics, vol. 52, no. 10, pp. 9951-9963, Oct. 2022, DOI:10.1109/TCYB.2020.3036364.
[5] Y. Wang, Z. Wang*, L. Zou and H. Dong, Non-fragile dissipative fuzzy PID control with mixed fading measurements, IEEE Transactions on Fuzzy Systems, vol. 30, no. 11, pp. 5019-5033, Nov. 2022, DOI:10.1109/TFUZZ.2022.3165691.
[6] Y. Wang, Z. Wang*, L. Zou, L. Ma and H. Dong, Ultimately bounded PID control for T-S fuzzy systems under FlexRay communication protocol, IEEE Transactions on Fuzzy Systems, vol. 31, no. 12, pp. 4308-4320, Dec. 2023, DOI:10.1109/TFUZZ.2023.3282044.
[7] Y. Wang, Z. Wang*, L. Zou, Y. Chen and D. Yue, Distributed proportional-integral fuzzy state estimation over sensor networks under energy-constrained denial-of-service attacks, IEEE Transactions on Cybernetics, vol. 54, no. 1, pp. 641-654, Jan. 2024, DOI:10.1109/TCYB.2023.3288829.
[8] Y. Wang, Z. Wang*, L. Zou and H. Dong, On H-infinity fuzzy proportional-integral observer design under amplify-and-forward relays and multi-rate measurements, IEEE Transactions on Fuzzy Systems, vol. 32, no. 4, pp. 1873-1885, Apr. 2024, DOI:10.1109/TFUZZ.2023.3337194.
[9] Y. Wang, Z. Wang*, L. Zou and H. Dong, Observer-based fuzzy PID tracking control under try-once-discard communication protocol: an affine fuzzy model approach, IEEE Transactions on Fuzzy Systems, vol. 32, no. 4, pp. 2352-2365, Apr. 2024, DOI:10.1109/TFUZZ.2024.3350341.
[10] Y. Wang, Z. Wang*, L. Zou, Q. Ge and H. Dong, Observer-based fuzzy PID control for nonlinear systems with degraded measurements: Dealing with randomly perturbed sampling periods, IEEE Transactions on Fuzzy Systems, vol. 32, no. 12, pp. 6848-6862, Dec. 2024, DOI:10.1109/TFUZZ.2024.3466218.
[11] Y. Wang, Z. Wang*, L. Zou, Q. Ge and H. Dong, Asynchronous PID control for T-S fuzzy systems over Gilbert-Elliott channels utilizing detected channel modes, IEEE Transactions on Fuzzy Systems, vol. 33, no. 5, pp. 1555-1567, May 2025, DOI:10.1109/TFUZZ.2025.3528337.
[12] Y. Wang, Z. Wang*, L. Zou, F. Wang and H. Dong, PID containment control for multi-agent systems with multi-rate measurements under sensor resolution constraints, IEEE Internet of Things Journal, vol. 12, no. 23, pp. 49709-49721, Sept. 2025, DOI:10.1109/JIOT.2025.3608094.
[13] Y. Wang, Z. Wang*, L. Zou and F. Wang, Distributed fuzzy proportional-integral state estimation over sensor networks with pull-type gossip protocols and fading data, IEEE Transactions on Fuzzy Systems, in press, 2026, DOI: 10.1109/TFUZZ.2026.3692040.
通讯作者论文：
[1] J. Chen（博士生）, Y. Wang* and F. Wang, Observer-based finite-horizon H-infinity consensus control of multi-agent systems under multi-round-robin scheduling, Intelligence & Control, vol. 2, no. 1, art. no. 3, Mar. 2026.
[2] J. Chen（博士生）, Y. Wang* and F. Wang, H∞ control for multi-agent systems under two-way amplify-and-forward relay networks: the event-trigger case, Complex Systems Stability & Control, vol. 2, no. 2, art. no. 6, Apr. 2026.
其他一作论文：
[1] Y. Wang, Z. Wang*, L. Zou and H. Liu, H-infinity fuzzy PID control under try-once-discard protocol, Proceedings of the 38th Chinese Control Conference, pp. 5381-5386, 2019, DOI:10.23919/ChiCC.2019.8866569.
[2] Y. Wang, L. Zou*, L. Ma, Z. Zhao and J. Guo, A survey on control for Takagi-Sugeno fuzzy systems subject to engineering-oriented complexities, Systems Science and Control Engineering, vol. 9, no. 1, pp. 334-349, 2021, DOI:https://doi.org/10.1080/21642583.2021.1907259.
合作论文：
[1] X. Du, L. Zou*, Z. Zhao, Y. Wang and M. Zhong, Unknown-input-observer-based approach to dynamic event-triggered fault estimation for Markovian jump systems with time-varying delays, Science China-Information Sciences, vol. 65, no. 3, art. no. 132203, Mar. 2022.
[2] Y. Zhang, L. Zou, Y. Wang and Y.-A. Wang, Estimator design for complex networks with encoding decoding mechanism and buffer-aided strategy: A partial-nodes accessible case, ISA Transactions, vol. 127, pp. 68-79, Aug. 2022.
[3] Y. Zhang, L. Zou, B. Song, Z. Zhao and Y. Wang, Neural-network-based output feedback control for networked multi-rate systems: a bit rate allocation scheme, Information Sciences, vol. 637, art. no. 118952, Aug. 2023.
[4] Z. Zhao, Z. Wang*, L. Zou, Y. Wang and J. Guo, Event-triggered fault estimation for networked systems with redundant channels, Proceedings of the 39th Chinese Control Conference, pp. 4492-4497, 2020.
[5] Y. Guo, Z. Wang*, Y. Wang and Y. Xu, Ultimately bounded state estimation for discrete-time singularly perturbed complex networks under bit rate constraints, 2023 28th International Conference on Automation and Computing (ICAC), 2023.
[6] H. Yu, Z. Wang, L. Zou and Y. Wang, A survey on security control and estimation for cyber physical systems under cyber-attacks: Advances, challenges and future directions, Artificial Intelligence Science and Engineering, vol. 1, no. 1, pp. 1-16, Mar. 2025.
[7] H. Yu, Z. Wang, Y. Wang and L. Zou, H-infinity fuzzy control for a class of cyber-physical systems under frequency-duration-constrained replay attacks, IEEE Internet of Things Journal, vol. 13, no. 6, pp. 12585-12597, Mar. 2026, DOI: 10.1109/JIOT.2026.3653965.
专利：
[1] 王业政，王子栋，邹磊，宋保业，郭继跃，一种具有冗余时滞通道非线性系统的模糊比例-积分状态估计方法，专利号：ZL 2020 1 1054145.1，授权日：2022年2月22日。（国内发明专利），排名：1/5。
科研项目：
1. 令牌桶协议下基于T-S模糊模型的非线性系统智能控制研究，国家自然科学基金青年项目C类，主持，2026年1月至2028年12月，在研。
2. 流言策略影响下一类非线性系统的分布式智能状态估计研究，江苏省高等学校基础科学（自然科学）研究面上项目，主持，2025年10月至2027年10月，在研。
3. 网络诱导复杂性影响下的模糊PID控制研究，南京信息工程大学引进人才科研启动专项经费，主持，2025年4月至2028年4月，在研。
指导学生竞赛：
1. 2026年iCAN大学生创新创业大赛“菲尼克斯杯”智能制造多模态控制挑战赛省级二等奖。