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Qing Zhao 0003
Person information
- affiliation: University of Alberta, Department of Electrical and Computer Engineering, Edmonton, Canada
Other persons with the same name
- Qing Zhao — disambiguation page
- Qing Zhao 0001
— Cornell University, School of Electrical and Computer Engineering, Ithaca, NY, USA (and 2 more)
- Qing Zhao 0002 — Georgia Institute of Technology, Atlanta, GA, USA
- Qing Zhao 0004
— Guizhou University of Finance and Economics, School of Business Administration, China (and 2 more)
- Qing Zhao 0005
— Beijing University Of Technology, Faculty of Information Technologyon, China
- Qing Zhao 0006
— East China Normal University, Key Laboratory of Geographical Information Science, Ministry of Education, Shanghai, China
- Qing Zhao 0007
— Fudan University, Shanghai Engineering Research Center of AI and Robotics, Shanghai, China
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2020 – today
- 2024
- [j28]Matin Macktoobian
, Zhan Shu
, Qing Zhao
:
Traffic Divergence Theory: An Analysis Formalism for Dynamic Networks. IEEE Access 12: 67512-67524 (2024) - [i3]Matin Macktoobian, Zhan Shu, Qing Zhao:
Traffic Divergence Theory: An Analysis Formalism for Dynamic Networks. CoRR abs/2404.03066 (2024) - 2023
- [j27]Muneeb Masood Raja, Haoran Wang
, Muhammad Haseeb Arshad, Gregory J. Kish
, Qing Zhao
:
Data Driven Model Predictive Control for Modular Multilevel Converters With Reduced Computational Complexity. IEEE Access 11: 42113-42123 (2023) - [j26]Matin Macktoobian
, Zhan Shu, Qing Zhao
:
Learning Optimal Topology for Ad-Hoc Robot Networks. IEEE Robotics Autom. Lett. 8(4): 2181-2188 (2023) - [j25]Lei Yang
, Qing Zhao
:
Combined Dual-Prediction Based Data Fusion and Enhanced Leak Detection and Isolation Method for WSN Pipeline Monitoring System. IEEE Trans Autom. Sci. Eng. 20(1): 571-582 (2023) - [j24]Matin Macktoobian
, Zhan Shu, Qing Zhao
:
Topology Recoverability Prediction for Ad-Hoc Robot Networks: A Data-Driven Fault-Tolerant Approach. IEEE Trans. Signal Inf. Process. over Networks 9: 786-799 (2023) - [i2]Matin Macktoobian, Zhan Shu, Qing Zhao:
Topology Recoverability Prediction for Ad-Hoc Robot Networks: A Data-Driven Fault-Tolerant Approach. CoRR abs/2310.20024 (2023) - 2022
- [j23]Bin Yang, Muhammad Haseeb Arshad
, Qing Zhao
:
Packet-Level and Flow-Level Network Intrusion Detection Based on Reinforcement Learning and Adversarial Training. Algorithms 15(12): 453 (2022) - [j22]Bahador Rashidi
, Qing Zhao
:
Output-related fault detection in non-stationary processes using constructive correlative-SAE and demoting correlative-DNN. Appl. Soft Comput. 123: 108898 (2022) - [j21]Amir Moeini
, Alan F. Lynch
, Qing Zhao:
A backstepping disturbance observer control for multirotor UAVs: theory and experiment. Int. J. Control 95(9): 2364-2378 (2022) - [j20]Zong-Yang Lv
, Yuhu Wu
, Qing Zhao
, Xi-Ming Sun
:
Design and Control of a Novel Coaxial Tilt-Rotor UAV. IEEE Trans. Ind. Electron. 69(4): 3810-3821 (2022) - [i1]Matin Macktoobian, Zhan Shu, Qing Zhao:
OpTopNET: A Learning Optimal Topology Synthesizer for Ad-hoc Robot Networks. CoRR abs/2201.12900 (2022) - 2021
- [j19]Amir Moeini
, Alan F. Lynch
, Qing Zhao
:
Exponentially Stable Motion Control for Multirotor UAVs with Rotor Drag and Disturbance Compensation. J. Intell. Robotic Syst. 103(1): 15 (2021) - [j18]Kezhen Han
, Jian Feng
, Qing Zhao
, Ping Jiang
, Xiaohong Wang:
Robust Constrained Predictive Fault-Tolerant Control With Generalized Input Parameterization and Event-Triggered Regulation: Design and Experimental Results. IEEE Trans. Ind. Electron. 68(9): 8615-8625 (2021) - [j17]Kezhen Han
, Jian Feng
, Qing Zhao
:
Robust Estimator-Based Dual-Mode Predictive Fault-Tolerant Control for Constrained Linear Parameter Varying Systems. IEEE Trans. Ind. Informatics 17(7): 4469-4479 (2021) - 2020
- [j16]Lei Yang
, Qing Zhao:
A Novel PPA Method for Fluid Pipeline Leak Detection Based on OPELM and Bidirectional LSTM. IEEE Access 8: 107185-107199 (2020) - [j15]Lei Yang
, Qing Zhao, Yindi Jing
:
Channel Equalization and Detection With ELM-Based Regressors for OFDM Systems. IEEE Commun. Lett. 24(1): 86-89 (2020) - [j14]Bahador Rashidi
, Qing Zhao:
Autonomous root-cause fault diagnosis using symbolic dynamic based causality analysis. Neurocomputing 401: 10-27 (2020)
2010 – 2019
- 2019
- [j13]Lei Yang
, Dan Wang, Qing Zhao:
Training Power Allocation Based on MSE-Minimization for Multi-Relay Amplify-and-Forward Cooperation in Wireless Sensor Networks. Wirel. Pers. Commun. 106(2): 593-619 (2019) - [c26]Lei Yang, Qing Zhao:
Comparisons of Various ELM Based Multi-View Clustering Methods for WDSNs. CCECE 2019: 1-4 - [c25]Bahador Rashidi, Qing Zhao:
Quality-Related Fault Detection for Processes with Time-Varying Measurements. ECC 2019: 3873-3879 - [c24]Lei Yang, Qing Zhao, Yindi Jing:
Conditional Training Based GM and GM-OPELM Data Fusion Schemes in Wireless Sensor Networks. PACRIM 2019: 1-6 - 2017
- [j12]Gang Li
, Qing Zhao:
Adaptive fault-tolerant shape control for nonlinear Lipschitz stochastic distribution systems. J. Frankl. Inst. 354(10): 4013-4033 (2017) - 2016
- [c23]Gang Li
, Qing Zhao:
Simultaneous actuator and sensor fault estimation for adaptive stochastic shape control. ACC 2016: 3868-3873 - [c22]Gang Li
, Rui Pan, Qing Zhao:
Robust imbalance fault estimation of a flexible rotor system. ACC 2016: 6703-6708 - [c21]Gang Li
, Qing Zhao:
Robust adaptive fault estimation for nonlinear particulate process systems. CCECE 2016: 1-4 - 2015
- [j11]Dan Wang, Qing Zhao, Lei Yang:
Robust signal-to-noise ratio and noise variance estimation for single carrier frequency domain equalisation ultra-wideband wireless systems. IET Commun. 9(13): 1598-1605 (2015) - [j10]Tao Li
, Gang Li
, Qing Zhao:
Adaptive Fault-Tolerant Stochastic Shape Control With Application to Particle Distribution Control. IEEE Trans. Syst. Man Cybern. Syst. 45(12): 1592-1604 (2015) - 2014
- [j9]Tao Li
, Qing Zhao, James Lam, Zhiguang Feng:
Multi-Bound-Dependent Stability Criterion for Digital Filters With Overflow Arithmetics and Time Delay. IEEE Trans. Circuits Syst. II Express Briefs 61-II(1): 31-35 (2014) - [c20]Tao Li, Gang Li
, Qing Zhao:
Fault tolerant shape control for output PDFs tracking of stochastic distribution systems. ACC 2014: 1945-1950 - 2011
- [c19]Shuonan Yang, Qing Zhao:
Statistical characterization of the GLR based fault detection. ACC 2011: 3778-3783 - [c18]Shuonan Yang, Qing Zhao:
Real-time frequency estimation of sinusoids with low-frequency disturbances. ACC 2011: 4275-4280
2000 – 2009
- 2008
- [c17]Amr M. Pertew, Horacio J. Marquez, Qing Zhao:
A direct sampled-data design approach for robot stabilization. ACC 2008: 369-374 - 2007
- [j8]Hongbin Li, Qing Zhao
, Zhenyu Yang
:
Reliability Modeling of Fault Tolerant Control Systems. Int. J. Appl. Math. Comput. Sci. 17(4): 491-504 (2007) - [j7]Amr M. Pertew, Horacio J. Marquez, Qing Zhao
:
LMI-based sensor fault diagnosis for nonlinear Lipschitz systems. Autom. 43(8): 1464-1469 (2007) - [j6]Feng Tao, Qing Zhao
:
Synthesis of stochastic fault tolerant control systems with random FDI delay. Int. J. Control 80(5): 684-694 (2007) - [j5]Iman Izadi, Qing Zhao
, Tongwen Chen
:
Analysis of performance criteria in sampled-data fault detection. Syst. Control. Lett. 56(4): 320-325 (2007) - 2006
- [j4]Amr M. Pertew, Horacio J. Marquez, Qing Zhao
:
H∞ observer design for lipschitz nonlinear systems. IEEE Trans. Autom. Control. 51(7): 1211-1216 (2006) - [c16]Iman Izadi, Tongwen Chen, Qing Zhao:
H∞ Performance Comparison of Single-rate and Multirate Sampled-data Systems. ACC 2006: 183-187 - [c15]Amr M. Pertew, Horacio J. Marquez, Qing Zhao:
LMI-based Lipschitz Observer Design with Application in Fault Diagnosis. CDC 2006: 514-519 - 2005
- [j3]Iman Izadi, Tongwen Chen
, Qing Zhao
:
Norm invariant discretization for sampled-data fault detection. Autom. 41(9): 1633-1637 (2005) - [c14]Hongbin Li, Qing Zhao:
A cut/tie set method for reliability evaluation of control systems. ACC 2005: 1048-1053vol.2 - [c13]Hongbin Li, Qing Zhao:
Analysis of fault tolerant control by using randomized algorithms. ACC 2005: 2218-2223 - [c12]Amr M. Pertew, Horacio J. Marquez, Qing Zhao:
Design of unknown input observers for Lipschitz nonlinear systems. ACC 2005: 4198-4203 - [c11]Hongbin Li, Qing Zhao
:
Reliability Modeling of Fault Tolerant Control Systems. CDC/ECC 2005: 2397-2402 - [c10]Amr M. Pertew, Horacio J. Marquez, Qing Zhao
:
H∞ Dynamic observer design with application in fault diagnosis. CDC/ECC 2005: 3803-3808 - [c9]Feng Tao, Qing Zhao
:
Synthesis of Fault Tolerant Control with Random FDI Delay. CDC/ECC 2005: 3844-3849 - [c8]Feng Tao, Qing Zhao
:
Design of Stochastic Fault Tolerant Control for H2Performance. CDC/ECC 2005: 6274-6279 - [c7]Hongbin Li, Qing Zhao
:
Stabilizing Controller Parametrization of Fault Tolerant Control Systems. CDC/ECC 2005: 6280-6285 - [c6]Amr M. Pertew, Horacio J. Marquez, Qing Zhao
:
Sampled-data observer design: A dynamical approach. CDC/ECC 2005: 7943-7948 - 2004
- [j2]Qing Zhao
, Zhihan Xu:
Design of a novel knowledge-based fault detection and isolation scheme. IEEE Trans. Syst. Man Cybern. Part B 34(2): 1089-1095 (2004) - [c5]Iman Izadi, Qing Zhao, Tongwen Chen:
An optimal fast rate fault detection scheme for multirate sampled-data systems. CDC 2004: 4776-4781 - 2003
- [c4]Qing Zhao, Chuwang Cheng:
State feedback control for time-delayed systems with actuator failures. ACC 2003: 827-832 - [c3]Qing Zhao, Chuwang Cheng:
Robust state feedback for actuator failure accommodation. ACC 2003: 4225-4230 - [c2]Chuwang Cheng, Qing Zhao, Feng Tao:
Stability and performance of the stochastic fault tolerant control systems. CDC 2003: 2484-2489 - 2002
- [c1]Zhihan Xu, Qing Zhao:
Design of fault detection and isolation via wavelet analysis and neural network. ISIC 2002: 467-472
1990 – 1999
- 1998
- [j1]Qing Zhao
, J. Jiang:
Reliable State Feedback Control System Design Against Actuator Failures. Autom. 34(10): 1267-1272 (1998)
Coauthor Index
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last updated on 2024-08-16 19:29 CEST by the dblp team
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