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ORCIDRuigang Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Journal Articles
- 2024
[j16]Max Revay
, Ruigang Wang, Ian R. Manchester:
Recurrent Equilibrium Networks: Flexible Dynamic Models With Guaranteed Stability and Robustness. IEEE Trans. Autom. Control. 69(5): 2855-2870 (2024)- [j15]Ruigang Wang, Zhuo Wang, Sixun Liu, Tao Li, Feng Li, Bodong Qin, Qinglai Wei:
Optimal Spin Polarization Control for the Spin-Exchange Relaxation-Free System Using Adaptive Dynamic Programming. IEEE Trans. Neural Networks Learn. Syst. 35(5): 5835-5847 (2024) - [j14]Bodong Qin, Zhuo Wang, Wenfeng Fan, Ruigang Wang, Feng Li, Wei Quan:
A Novel Data-Driven Physical Iterative Modeling Approach and its Application in Quantum Instrumentation. IEEE Trans. Syst. Man Cybern. Syst. 54(9): 5667-5679 (2024) - 2023
- [j13]Ruigang Wang, Nicholas Barbara, Max Revay, Ian R. Manchester:
Learning Over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System. IEEE Control. Syst. Lett. 7: 91-96 (2023) - [j12]Zhuo Wang, Ruigang Wang, Sixun Liu, Li Xing, Bodong Qin:
Fractional Exponential Feedback Control for Finite-Time Stabilization and its Application in a Spin-Exchange Relaxation-Free Comagnetometer. IEEE Trans. Cybern. 53(11): 7008-7020 (2023) - [j11]Feng Li, Zhuo Wang, Ruigang Wang, Sixun Liu, Bodong Qin, Zehua Liu, Xinxiu Zhou:
Magnetic Field Compensation Control for Spin-Exchange Relaxation-Free Comagnetometer Using Reinforcement Learning. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - 2022
- [j10]Zhuo Wang, Sixun Liu, Ruigang Wang, Linlin Yuan, Jiong Huang, Yueyang Zhai, Sheng Zou:
Atomic Spin Polarization Controllability Analysis: A Novel Controllability Determination Method for Spin-Exchange Relaxation-Free Co-Magnetometers. IEEE CAA J. Autom. Sinica 9(4): 699-708 (2022) - [j9]Chunyu Ding, Yan Su, Zhonghan Lei, Zongyu Zhang, Mi Song, Yuanzhou Liu, Ruigang Wang, Qingquan Li, Chunlai Li, Shaopeng Huang:
Electromagnetic Signal Attenuation Characteristics in the Lunar Regolith Observed by the Lunar Regolith Penetrating Radar (LRPR) Onboard the Chang'E-5 Lander. Remote. Sens. 14(20): 5189 (2022) - [j8]Bowen Yi, Ruigang Wang, Ian R. Manchester:
Reduced-Order Nonlinear Observers Via Contraction Analysis and Convex Optimization. IEEE Trans. Autom. Control. 67(8): 4045-4060 (2022) - [j7]Yan Su, Ruigang Wang, Xiangjin Deng, Zongyu Zhang, Jianfeng Zhou, Zhiyong Xiao, Chunyu Ding, Yuxi Li, Shun Dai, Xin Ren, Xingguo Zeng, Xingye Gao, Jianjun Liu, Dawei Liu, Bin Liu, Bin Zhou, Guangyou Fang, Chunlai Li:
Hyperfine Structure of Regolith Unveiled by Chang'E-5 Lunar Regolith Penetrating Radar. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - 2021
- [j6]Max Revay, Ruigang Wang, Ian R. Manchester:
A Convex Parameterization of Robust Recurrent Neural Networks. IEEE Control. Syst. Lett. 5(4): 1363-1368 (2021) - [j5]Ruigang Wang, Yan Su, Chunyu Ding, Shun Dai, Chendi Liu, Zongyu Zhang, Tiansheng Hong, Qing Zhang, Chunlai Li:
A Novel Approach for Permittivity Estimation of Lunar Regolith Using the Lunar Penetrating Radar Onboard Chang'E-4 Rover. Remote. Sens. 13(18): 3679 (2021) - [j4]Tiansheng Hong, Yan Su, Mingyi Fan, Shun Dai, Peng Lv, Chunyu Ding, Zongyu Zhang, Ruigang Wang, Chendi Liu, Wei Du, Shuning Liu, Chunlai Li:
Flight Experiment Validation of Altitude Measurement Performance of MOSIR on Tianwen-1 Orbiter. Remote. Sens. 13(24): 5049 (2021) - 2020
- [j3]Zhuo Wang, Ruigang Wang:
Data-based Analysis Methods for the State Controllability and State Observability of Discrete-time LTI Systems with Time-delays. J. Robotics Netw. Artif. Life 6(4): 235-239 (2020) - 2018
- [j2]Qingyang Lei, Ruigang Wang, Jie Bao:
Fault diagnosis based on dissipativity property. Comput. Chem. Eng. 108: 360-371 (2018) - 2017
- [j1]Ruigang Wang, Ian R. Manchester, Jie Bao:
Distributed Economic MPC With Separable Control Contraction Metrics. IEEE Control. Syst. Lett. 1(1): 104-109 (2017)
Conference and Workshop Papers
- 2024
- [c26]Ruigang Wang, Krishnamurthy Dj Dvijotham, Ian R. Manchester:
Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks. ICML 2024 - 2023
- [c25]Ruigang Wang, Armaghan Zafar, Ian R. Manchester:
Model Predictive Control of Spreading Processes via Sparse Resource Allocation. ACC 2023: 4320-4325 - [c24]Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester:
Learning Over Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems. CDC 2023: 1028-1033 - [c23]Chris Verhoek, Ruigang Wang, Roland Tóth:
Learning Stable and Robust Linear Parameter-Varying State-Space Models. CDC 2023: 1348-1353 - [c22]Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer:
Lipschitz-Bounded 1D Convolutional Neural Networks using the Cayley Transform and the Controllability Gramian. CDC 2023: 5345-5350 - [c21]Ruigang Wang, Ian R. Manchester:
Direct Parameterization of Lipschitz-Bounded Deep Networks. ICML 2023: 36093-36110 - 2022
- [c20]Ruigang Wang, Ian R. Manchester:
Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees. ACC 2022: 2116-2123 - 2021
- [c19]Bowen Yi, Ruigang Wang, Ian R. Manchester:
Reduced-order observers for nonlinear systems via contraction analysis and convex optimization. ACC 2021: 411-416 - [c18]Max Revay, Ruigang Wang, Ian R. Manchester:
A Convex Parameterization of Robust Recurrent Neural Networks. ACC 2021: 2824-2829 - [c17]Max Revay, Ruigang Wang, Ian R. Manchester:
Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models. CDC 2021: 2282-2287 - [c16]Ian R. Manchester, Max Revay, Ruigang Wang:
Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial. CDC 2021: 2955-2962 - 2020
- [c15]Ruigang Wang, Ian R. Manchester:
Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics. ACC 2020: 1619-1624 - [c14]Bowen Yi, Ruigang Wang, Ian R. Manchester:
On Necessary Conditions of Tracking Control for Nonlinear Systems via Contraction Analysis. CDC 2020: 2000-2005 - 2019
- [c13]Ruigang Wang, Ian R. Manchester:
Robust Contraction Analysis of Nonlinear Systems via Differential IQC. CDC 2019: 6766-6771 - 2018
- [c12]Yitao Yan, Ruigang Wang, Jie Bao:
Robust Control Synthesis for Linear Differential Systems with Parametric Uncertainty. ANZCC 2018: 281-284 - [c11]Ruigang Wang, Jie Bao:
Advanced-step Stochastic Model Predictive Control using Random Forests. CDC 2018: 3283-3287 - 2017
- [c10]Ruigang Wang, Chee Keong Tan, Jie Bao, Mohd Azlan Hussain:
A modified moving horizon estimation scheme for multi-timescale chemical processes. ANZCC 2017: 172-174 - [c9]Ruigang Wang, Qingyang Lei, Jie Bao:
A behavior based robust fault detection approach for LTI systems. ASCC 2017: 1755-1760 - 2016
- [c8]Ruigang Wang, Jie Bao:
Plantwide analysis of large-scale stochastic linear discrete-time systems. AuCC 2016: 253-257 - [c7]Xinan Zhang, Ruigang Wang, Jie Bao, Maria Skyllas-Kazacos:
Control of distributed energy storage systems in residential microgrids. AuCC 2016: 270-275 - [c6]Li Sun, Tonghua Su, Ce Liu, Ruigang Wang:
Deep LSTM Networks for Online Chinese Handwriting Recognition. ICFHR 2016: 271-276 - [c5]Tonghua Su, Shukai Jia, Qiufeng Wang, Li Sun, Ruigang Wang:
Novel character segmentation method for overlapped Chinese handwriting recognition based on LSTM neural networks. ICPR 2016: 1141-1146 - 2015
- [c4]Ruigang Wang, Jie Bao:
Decentralized control of polynomial systems using differential dissipativity. CCA 2015: 1416-1421 - [c3]Jie Bao, Ruigang Wang:
Distributed plantwide process control based on dissipativity. AuCC 2015: 16-20 - [c2]Ruigang Wang, Jie Bao:
Minimum phase characterization for nonlinear systems with periodic trajectories using differential dissipativity. AuCC 2015: 131-133 - 2014
- [c1]Ruigang Wang, Michael James Tippett, Jie Bao:
Model predictive control of differentially flat systems using Haar wavelets. AuCC 2014: 182-187
Informal and Other Publications
- 2024
- [i22]Ruigang Wang, Krishnamurthy Dvijotham, Ian R. Manchester:
Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks. CoRR abs/2402.01344 (2024) - [i21]Jing Cheng, Ruigang Wang, Ian R. Manchester:
Learning Stable and Passive Neural Differential Equations. CoRR abs/2404.12554 (2024) - [i20]Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester:
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks. CoRR abs/2405.11432 (2024) - 2023
- [i19]Ruigang Wang, Ian R. Manchester:
Direct Parameterization of Lipschitz-Bounded Deep Networks. CoRR abs/2301.11526 (2023) - [i18]Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer:
Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian. CoRR abs/2303.11835 (2023) - [i17]Chris Verhoek, Ruigang Wang, Roland Tóth:
Learning Stable and Robust Linear Parameter-Varying State-Space Models. CoRR abs/2304.01828 (2023) - [i16]Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester:
Learning Over All Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems. CoRR abs/2304.06193 (2023) - [i15]Nicholas H. Barbara, Max Revay, Ruigang Wang, Jing Cheng, Ian R. Manchester:
RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness. CoRR abs/2306.12612 (2023) - 2022
- [i14]Ruigang Wang, Armaghan Zafar, Ian R. Manchester:
Model Predictive Control of Spreading Processes via Sparse Resource Allocation. CoRR abs/2210.15798 (2022) - 2021
- [i13]Ruigang Wang, Patrick J. W. Koelwijn, Ian R. Manchester, Roland Tóth:
Nonlinear parameter-varying state-feedback design for a gyroscope using virtual control contraction metrics. CoRR abs/2104.04917 (2021) - [i12]Max Revay, Ruigang Wang, Ian R. Manchester:
Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models. CoRR abs/2104.05942 (2021) - [i11]Ian R. Manchester, Max Revay, Ruigang Wang:
Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial. CoRR abs/2110.00207 (2021) - [i10]Ruigang Wang, Ian R. Manchester:
Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees. CoRR abs/2112.01253 (2021) - [i9]Ruigang Wang, Nicholas Barbara, Max Revay, Ian R. Manchester:
Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System. CoRR abs/2112.04219 (2021) - 2020
- [i8]Ruigang Wang, Roland Tóth, Ian R. Manchester:
Virtual Control Contraction Metrics: Convex Nonlinear Feedback Design via Behavioral Embedding. CoRR abs/2003.08513 (2020) - [i7]Max Revay, Ruigang Wang, Ian R. Manchester:
Convex Sets of Robust Recurrent Neural Networks. CoRR abs/2004.05290 (2020) - [i6]Bowen Yi, Ruigang Wang, Ian R. Manchester:
On necessary conditions of tracking control for nonlinear systems via contraction analysis. CoRR abs/2009.08662 (2020) - [i5]Max Revay, Ruigang Wang, Ian R. Manchester:
Lipschitz Bounded Equilibrium Networks. CoRR abs/2010.01732 (2020) - [i4]Bowen Yi, Ruigang Wang, Ian R. Manchester:
Reduced-Order Nonlinear Observers via Contraction Analysis and Convex Optimization. CoRR abs/2012.06158 (2020) - 2019
- [i3]Ruigang Wang, Ian R. Manchester:
Robust Contraction Analysis of Nonlinear Systems via Differential IQC. CoRR abs/1903.08806 (2019) - [i2]Ruigang Wang, Roland Tóth, Ian R. Manchester:
A Comparison of LPV Gain Scheduling and Control Contraction Metrics for Nonlinear Control. CoRR abs/1905.01811 (2019) - [i1]Ruigang Wang, Ian R. Manchester:
Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics. CoRR abs/1909.13033 (2019)
Coauthor Index
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