( en | de | ru )

 

Disambiguation of "Zhang, Weicun"

Author of the publication

copydeleteadd this publication to your clipboard
RBF Networks-Based Weighted Multi-Model Adaptive Control for a Category of Nonlinear Systems With Jumping Parameters.

, , , , , and . IEEE Access, (2019)

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. You can also use the button next to the name to display some publications already assigned to the person.

Zhang Zhang

Meng Zhang

Methods and implementations of road-network matching. TU München, (2009)

Xianghong Zhang

Miao Zhang

Wei Zhang

 

Other publications of authors with the same name

Towards a unified stability analysis of continuous-time T-S model-based fuzzy control systems., and . Int. J. Model. Identif. Control., 31 (2): 113-123 (2019)On the stability and convergence of self-tuning control-virtual equivalent system approach.. Int. J. Control, 83 (5): 879-896 (2010)Robust Stabilization and Synchronization of a Novel Chaotic System with Input Saturation Constraints., , , , , , , and . Entropy, 23 (9): 1110 (2021)Erratum to Älgorithms for U-Model-Based Dynamic Inversion (UM-Dynamic Inversion) for Continuous Time Control Systems"., , , and . Complex., (2020)Weighted Multiple Model Adaptive Control for a Category of Systems with Colored Noise., , and . J. Robotics Netw. Artif. Life, 4 (2): 146-149 (2017)Robust multiple model adaptive control of uncertain stochastic plant with improved weighting algorithm., , , and . ICIA, page 536-541. IEEE, (2014)Undershoot Reduction in Discrete-Time ADRC of NMP Plant by Parameters Optimization., and . JRNAL, 3 (1): 1-4 (2016)Stable Weighted Multiple Model Adaptive Control of Continuous-Time Plant With Large Parameter Uncertainties., and . IEEE Access, (2019)An improved U-control design for nonlinear systems represented by input/output differential models with a disturbance observer., , , , and . Int. J. Control, 96 (11): 2737-2748 (November 2023)A hybrid and fast deep learning framework for Covid-19 detection via 3D Chest CT Images., , and . ICCVW, page 508-512. IEEE, (2021)