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2020 – today
- 2024
[j22]Zhongyao Hu, Bo Chen, Zheming Wang, Li Yu:
Performance analysis of stochastic event-triggered estimator with compressed measurements. Autom. 162: 111520 (2024)- [j21]Zheming Wang, Raphaël M. Jungers, Mihály Petreczky, Bo Chen, Li Yu:
Learning stability of partially observed switched linear systems. Autom. 164: 111643 (2024) - [j20]Anjie Mao
, Yuchen Zhang, Zheming Wang, Bo Chen:
Minimal Sensor Activation for Detectable Networked Discrete Event Systems. IEEE Control. Syst. Lett. 8: 340-345 (2024) - [j19]Bo Chen, Chenteng Xu, Zheming Wang, Xiang Qiu, Shuwang Du:
A Fusion Estimation Approach for Robust Output Feedback MPC of Multi-Sensor Systems. IEEE Control. Syst. Lett. 8: 574-579 (2024) - [j18]Zheming Wang, Raphaël M. Jungers:
On Objective Function Value Performance of the Scenario Approach Under Regularity Conditions. IEEE Trans. Autom. Control. 69(7): 4215-4229 (2024) - [j17]Zheming Wang, Guillaume O. Berger, Raphaël M. Jungers:
Data-Driven Control of Unknown Switched Linear Systems Using Scenario Optimization. IEEE Trans. Autom. Control. 69(11): 7310-7325 (2024) - [j16]Tongxiang Li, Xi Wen, Bo Chen, Zheming Wang:
Distributed MPC-Based Constant Voltage Control for DC Microgrids Under DoS Attacks. IEEE Trans. Circuits Syst. II Express Briefs 71(9): 4266-4270 (2024) - [j15]Tongxiang Li, Bo Chen, Shichao Liu, Zheming Wang, Wen-An Zhang, Li Yu:
Fast Attack Detection for Cyber-Physical Systems Using Dynamic Data Encryption. IEEE Trans. Cybern. 54(5): 3251-3264 (2024) - 2023
- [j14]Zheming Wang, Raphaël M. Jungers, Chong Jin Ong:
Computation of invariant sets via immersion for discrete-time nonlinear systems. Autom. 147: 110686 (2023) - [j13]Fuzhong Nian, Xiaochen Yang, Zheming Wang:
Emotion spreading carried by emoji in social network. Soc. Netw. Anal. Min. 13(1): 147 (2023) - [c20]Zheming Wang, Bo Chen, Raphaël M. Jungers, Li Yu:
Data-Driven Reachability Analysis of Lipschitz Nonlinear Systems via Support Vector Data Description. CDC 2023: 7043-7048 - [c19]Xiangzhi Zeng, Xiang Qiu, Zheming Wang, Jianbing Wang, Bo Chen:
A Multi-Layer Fusion Method for Infrared and Visible Images. RICAI 2023: 1009-1014 - [i14]Zheming Wang, Raphaël M. Jungers, Mihály Petreczky, Bo Chen, Li Yu:
Learning stability of partially observed switched linear systems. CoRR abs/2301.08046 (2023) - [i13]Adrien Banse, Zheming Wang, Raphaël M. Jungers:
Learning stability guarantees for constrained switching linear systems from noisy observations. CoRR abs/2302.05249 (2023) - 2022
- [j12]Guillaume O. Berger, Zheming Wang:
Comments on "Data driven stability analysis of black-box switched linear systems" [Automatica 109 (2019) 108533]. Autom. 142: 110412 (2022) - [c18]Guillaume O. Berger, Raphaël M. Jungers, Zheming Wang:
Data-driven invariant subspace identification for black-box switched linear systems. CDC 2022: 32-37 - [c17]Zheming Wang, Raphaël M. Jungers:
Probabilistic guarantees on the objective value for the scenario approach via sensitivity analysis. CDC 2022: 5668-5673 - [c16]Adrien Banse, Zheming Wang, Raphaël M. Jungers:
Black-box stability analysis of hybrid systems with sample-based multiple Lyapunov functions. CDC 2022: 7284-7289 - [i12]Adrien Banse, Zheming Wang, Raphaël M. Jungers:
Learning stability guarantees for data-driven constrained switching linear systems. CoRR abs/2205.00696 (2022) - [i11]Adrien Banse, Zheming Wang, Raphaël M. Jungers:
Black-box stability analysis of hybrid systems with sample-based multiple Lyapunov functions. CoRR abs/2205.00699 (2022) - [i10]Guillaume O. Berger, Raphaël M. Jungers, Zheming Wang:
Data-driven invariant subspace identification for black-box switched linear systems. CoRR abs/2209.05320 (2022) - 2021
- [j11]Zheming Wang, Raphaël M. Jungers, Chong Jin Ong:
Computation of the maximal invariant set of discrete-time linear systems subject to a class of non-convex constraints. Autom. 125: 109463 (2021) - [j10]Zheming Wang, Raphaël M. Jungers:
Scenario-Based Set Invariance Verification for Black-Box Nonlinear Systems. IEEE Control. Syst. Lett. 5(1): 193-198 (2021) - [j9]Zheming Wang, Raphaël M. Jungers:
A Data-Driven Method for Computing Polyhedral Invariant Sets of Black-Box Switched Linear Systems. IEEE Control. Syst. Lett. 5(5): 1843-1848 (2021) - [c15]Anne Rubbens, Zheming Wang, Raphaël M. Jungers:
Data-driven stability analysis of switched linear systems with Sum of Squares guarantees. ADHS 2021: 67-72 - [c14]Zheming Wang, Raphaël M. Jungers:
A data-driven method for computing polyhedral invariant sets of black-box switched linear systems. ACC 2021: 3416-3421 - [c13]Matteo Della Rossa, Zheming Wang, Lucas N. Egidio, Raphaël M. Jungers:
Data-driven stability analysis of switched affine systems. CDC 2021: 3204-3209 - [c12]Zheming Wang, Guillaume O. Berger, Raphaël M. Jungers:
Data-driven feedback stabilization of switched linear systems with probabilistic stability guarantees. CDC 2021: 4400-4405 - [c11]Zheming Wang, Raphaël M. Jungers:
Immersion-based model predictive control of constrained nonlinear systems: Polyflow approximation. ECC 2021: 1099-1104 - [c10]Guillaume O. Berger, Raphaël M. Jungers, Zheming Wang:
Chance-constrained quasi-convex optimization with application to data-driven switched systems control. L4DC 2021: 571-583 - [i9]Guillaume O. Berger, Raphaël M. Jungers, Zheming Wang:
Chance-constrained quasi-convex optimization with application to data-driven switched systems control. CoRR abs/2101.01415 (2021) - [i8]Matteo Della Rossa, Zheming Wang, Lucas N. Egidio, Raphaël M. Jungers:
Data-driven stability analysis of switched affine systems. CoRR abs/2109.11169 (2021) - 2020
- [i7]Zheming Wang, Raphaël M. Jungers:
A data-driven method for computing polyhedral invariant sets of black-box switched linear systems. CoRR abs/2009.10984 (2020) - [i6]Zheming Wang, Raphaël M. Jungers, Chong-Jin Ong:
Computation of invariant sets via immersion for discrete-time nonlinear systems. CoRR abs/2010.00974 (2020) - [i5]Zheming Wang, Raphaël M. Jungers:
Immersion-based model predictive control of constrained nonlinear systems: Polyflow approximation. CoRR abs/2011.13255 (2020)
2010 – 2019
- 2019
- [c9]Zheming Wang, Raphaël M. Jungers, Quentin Flandroy, Baptiste Herregods, Cedric Hernalsteens:
Finite-horizon covariance control of state-affine nonlinear systems with application to proton beamline calibration. ECC 2019: 3740-3745 - [c8]Zheming Wang, Raphaël M. Jungers, Chong-Jin Ong:
Computation of the maximal invariant set of linear systems with quasi-smooth nonlinear constraints. ECC 2019: 3803-3808 - [i4]Zheming Wang, Raphaël M. Jungers:
Data-driven computation of invariant sets of discrete time-invariant black-box systems. CoRR abs/1907.12075 (2019) - [i3]Zheming Wang, Raphaël M. Jungers, Chong-Jin Ong:
Computation of the maximal invariant set of discrete-time systems subject to quasi-smooth non-convex constraints. CoRR abs/1912.09727 (2019) - 2018
- [j8]Zheming Wang, Chong Jin Ong:
Speeding up finite-time consensus via minimal polynomial of a weighted graph - A numerical approach. Autom. 93: 415-421 (2018) - [j7]Zheming Wang, Chong-Jin Ong:
Accelerated Distributed MPC of Linear Discrete-Time Systems With Coupled Constraints. IEEE Trans. Autom. Control. 63(11): 3838-3849 (2018) - 2017
- [j6]Zheming Wang, Chong Jin Ong:
Distributed Model Predictive Control of linear discrete-time systems with local and global constraints. Autom. 81: 184-195 (2017) - [c7]Zheming Wang, Guoqiang Hu, Costas J. Spanos:
Distributed model predictive control of bilinear HVAC systems using a convexification method. ASCC 2017: 1608-1613 - [c6]Zheming Wang, Chong Jin Ong:
A fast dual gradient algorithm for distributed model predictive control with coupled constraints. CDC 2017: 6183-6188 - [i2]Zheming Wang, Guoqiang Hu:
Economic MPC of Nonlinear Systems with Non-Monotonic Lyapunov Functions and Its Application to HVAC Control. CoRR abs/1707.05044 (2017) - [i1]Zheming Wang, Chong Jin Ong:
Speeding up finite-time consensus via minimal polynomial of a weighted graph - a numerical approach. CoRR abs/1707.07380 (2017) - 2016
- [j5]Zheming Wang, Chong Jin Ong:
Distributed MPC of constrained linear systems with time-varying terminal sets. Syst. Control. Lett. 88: 14-23 (2016) - [j4]Chong Jin Ong, Zheming Wang, Masood Dehghan:
Model Predictive Control for Switching Systems With Dwell-Time Restriction. IEEE Trans. Autom. Control. 61(12): 4189-4195 (2016) - [c5]Zheming Wang, Chong Jin Ong, Geok-Soon Hong:
Distributed Model Predictive Control of linear discrete-time systems with coupled constraints. CDC 2016: 5226-5231 - [c4]Cheng Jin, Chenjie Li, Zheming Wang, Yuejie Zhang, Tao Zhang:
Sketch-Based Image Retrieval with a Novel BoVW Representation. MMM (1) 2016: 621-631 - 2015
- [c3]Zheming Wang, Chong Jin Ong:
Distributed MPC of constrained linear systems with online decoupling of the terminal constraint. ACC 2015: 2942-2947 - [c2]Chong Jin Ong, Zheming Wang, Masood Dehghan:
Characterization of switching sequences on system with dwell-time restriction for Model Predictive Control. CDC 2015: 3657-3662 - [c1]Cheng Jin, Zheming Wang, Tianhao Zhang, Qinen Zhu, Yuejie Zhang:
A Novel Visual-Region-Descriptor-based Approach to Sketch-based Image Retrieval. ICMR 2015: 267-274 - 2014
- [j3]Chong Jin Ong, Zheming Wang:
Reducing variables in Model Predictive Control of linear system with disturbances using singular value decomposition. Syst. Control. Lett. 71: 62-68 (2014)
2000 – 2009
- 2009
- [j2]Peng Jiang, Hongbo Xia, Zhiye He, Zheming Wang:
Design of a Water Environment Monitoring System Based on Wireless Sensor Networks. Sensors 9(8): 6411-6434 (2009)
1980 – 1989
- 1984
- [j1]Meigu Guan, Weixuan Li, Zheming Wang:
The convex weighting of a graph and an alternative definition of a matroid. Discret. Math. 48(1): 77-81 (1984)
Coauthor Index
aka: Chong-Jin Ong
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