( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Dynamic output-feedback control for nonlinear continuous-time systems based on parametric uncertain subsystem and T-S fuzzy model.

, , , , и . J. Intell. Fuzzy Syst., 35 (5): 5755-5769 (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Zhiming Chen

Zhiming Chen

Zhiming Chen

Zhiming Liu

Zhiming Wang

 

Другие публикации лиц с тем же именем

A Framework of Group Decision Making with Hesitant Fuzzy Preference Relations Based on Multiplicative Consistency.. Int. J. Fuzzy Syst., 19 (4): 982-996 (2017)Spatial-Temporal Monitoring of Urban Growth: A Case in Kunming, Southwest China., , , , , и . GRMSE, том 569 из Communications in Computer and Information Science, стр. 116-127. Springer, (2015)A Survey on Energy Efficiency Techniques for Secure Computing Systems., и . IGSC, стр. 1-6. IEEE, (2018)Emerging Applications of 3D Integration and Approximate Computing in High-Performance Computing Systems: Unique Security Vulnerabilities., , , , и . HPEC, стр. 1-7. IEEE, (2019)Learning-Based MPC Controller for Drift Control of Autonomous Vehicles., , , , , , , и . ITSC, стр. 322-328. IEEE, (2022)TopicDSDR: Combining Topic Decomposition and Data Reconstruction for Summarization., , и . WAIM, том 7923 из Lecture Notes in Computer Science, стр. 338-350. Springer, (2013)FPGA-oriented moving target defense against security threats from malicious FPGA tools., , , и . HOST, стр. 163-166. IEEE Computer Society, (2018)Dynamic output-feedback control for nonlinear continuous-time systems based on parametric uncertain subsystem and interval type-2 fuzzy model., , , , и . J. Frankl. Inst., 355 (16): 7962-7984 (2018)Hesitant triangular multiplicative aggregation operators and their application to multiple attribute group decision making.. Neural Comput. Appl., 28 (1): 195-217 (2017)Dendritic SE-ResNet Learning for Bioinformatic Classification., , , , , и . ISBRA (1), том 14954 из Lecture Notes in Computer Science, стр. 139-150. Springer, (2024)