Ruigang Wang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 58

Top Topics

Nonlinear Systems

Reinforcement Learning

Predictive Control

Top Venues

Publications

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) (2024)
Jing Cheng, Ruigang Wang, Ian R. Manchester
Learning Stable and Passive Neural Differential Equations. CoRR (2024)
Ruigang Wang, Krishnamurthy Dvijotham, Ian R. Manchester
Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks. CoRR (2024)
Max Revay, Ruigang Wang, Ian R. Manchester
Recurrent Equilibrium Networks: Flexible Dynamic Models With Guaranteed Stability and Robustness. IEEE Trans. Autom. Control. 69 (5) (2024)
Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks. CoRR (2024)
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 (2023)
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 (2023)
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) (2023)
Chris Verhoek, Ruigang Wang, Roland Tóth
Learning Stable and Robust Linear Parameter-Varying State-Space Models. CoRR (2023)
Ruigang Wang, Armaghan Zafar, Ian R. Manchester
Model Predictive Control of Spreading Processes via Sparse Resource Allocation. ACC (2023)
Ruigang Wang, Ian R. Manchester
Direct Parameterization of Lipschitz-Bounded Deep Networks. CoRR (2023)
Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer
Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian. CoRR (2023)
Chris Verhoek, Ruigang Wang, Roland Tóth
Learning Stable and Robust Linear Parameter-Varying State-Space Models. CDC (2023)
Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester
Learning Over All Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems. CoRR (2023)
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)
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 (2023)
Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester
Learning Over Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems. CDC (2023)
Ruigang Wang, Ian R. Manchester
Direct Parameterization of Lipschitz-Bounded Deep Networks. ICML (2023)
Bowen Yi, Ruigang Wang, Ian R. Manchester
Reduced-Order Nonlinear Observers Via Contraction Analysis and Convex Optimization. IEEE Trans. Autom. Control. 67 (8) (2022)
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) (2022)
Ruigang Wang, Armaghan Zafar, Ian R. Manchester
Model Predictive Control of Spreading Processes via Sparse Resource Allocation. CoRR (2022)
Ruigang Wang, Ian R. Manchester
Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees. ACC (2022)
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) (2022)
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 (2022)
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) (2021)
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 (2021)
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) (2021)
Max Revay, Ruigang Wang, Ian R. Manchester
Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models. CDC (2021)
Ruigang Wang, Nicholas Barbara, Max Revay, Ian R. Manchester
Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System. CoRR (2021)
Bowen Yi, Ruigang Wang, Ian R. Manchester
Reduced-order observers for nonlinear systems via contraction analysis and convex optimization. ACC (2021)
Ian R. Manchester, Max Revay, Ruigang Wang
Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial. CDC (2021)
Ruigang Wang, Ian R. Manchester
Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees. CoRR (2021)
Max Revay, Ruigang Wang, Ian R. Manchester
A Convex Parameterization of Robust Recurrent Neural Networks. IEEE Control. Syst. Lett. 5 (4) (2021)
Max Revay, Ruigang Wang, Ian R. Manchester
A Convex Parameterization of Robust Recurrent Neural Networks. ACC (2021)
Max Revay, Ruigang Wang, Ian R. Manchester
Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models. CoRR (2021)
Ian R. Manchester, Max Revay, Ruigang Wang
Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial. CoRR (2021)
Max Revay, Ruigang Wang, Ian R. Manchester
Convex Sets of Robust Recurrent Neural Networks. CoRR (2020)
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) (2020)
Bowen Yi, Ruigang Wang, Ian R. Manchester
Reduced-Order Nonlinear Observers via Contraction Analysis and Convex Optimization. CoRR (2020)
Ruigang Wang, Roland Tóth, Ian R. Manchester
Virtual Control Contraction Metrics: Convex Nonlinear Feedback Design via Behavioral Embedding. CoRR (2020)
Max Revay, Ruigang Wang, Ian R. Manchester
Lipschitz Bounded Equilibrium Networks. CoRR (2020)
Bowen Yi, Ruigang Wang, Ian R. Manchester
On necessary conditions of tracking control for nonlinear systems via contraction analysis. CoRR (2020)
Bowen Yi, Ruigang Wang, Ian R. Manchester
On Necessary Conditions of Tracking Control for Nonlinear Systems via Contraction Analysis. CDC (2020)
Ruigang Wang, Ian R. Manchester
Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics. ACC (2020)
Ruigang Wang, Ian R. Manchester
Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics. CoRR (2019)
Ruigang Wang, Roland Tóth, Ian R. Manchester
A Comparison of LPV Gain Scheduling and Control Contraction Metrics for Nonlinear Control. CoRR (2019)
Ruigang Wang, Ian R. Manchester
Robust Contraction Analysis of Nonlinear Systems via Differential IQC. CDC (2019)
Ruigang Wang, Ian R. Manchester
Robust Contraction Analysis of Nonlinear Systems via Differential IQC. CoRR (2019)
Ruigang Wang, Jie Bao
Advanced-step Stochastic Model Predictive Control using Random Forests. CDC (2018)
Yitao Yan, Ruigang Wang, Jie Bao
Robust Control Synthesis for Linear Differential Systems with Parametric Uncertainty. ANZCC (2018)
Qingyang Lei, Ruigang Wang, Jie Bao
Fault diagnosis based on dissipativity property. Comput. Chem. Eng. 108 (2018)
Ruigang Wang, Qingyang Lei, Jie Bao
A behavior based robust fault detection approach for LTI systems. ASCC (2017)
Ruigang Wang, Chee Keong Tan, Jie Bao, Mohd Azlan Hussain
A modified moving horizon estimation scheme for multi-timescale chemical processes. ANZCC (2017)
Ruigang Wang, Ian R. Manchester, Jie Bao
Distributed Economic MPC With Separable Control Contraction Metrics. IEEE Control. Syst. Lett. 1 (1) (2017)
Xinan Zhang, Ruigang Wang, Jie Bao, Maria Skyllas-Kazacos
Control of distributed energy storage systems in residential microgrids. AuCC (2016)
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)
Ruigang Wang, Jie Bao
Plantwide analysis of large-scale stochastic linear discrete-time systems. AuCC (2016)
Li Sun, Tonghua Su, Ce Liu, Ruigang Wang
Deep LSTM Networks for Online Chinese Handwriting Recognition. ICFHR (2016)
Jie Bao, Ruigang Wang
Distributed plantwide process control based on dissipativity. AuCC (2015)
Ruigang Wang, Jie Bao
Decentralized control of polynomial systems using differential dissipativity. CCA (2015)
Ruigang Wang, Jie Bao
Minimum phase characterization for nonlinear systems with periodic trajectories using differential dissipativity. AuCC (2015)
Ruigang Wang, Michael James Tippett, Jie Bao
Model predictive control of differentially flat systems using Haar wavelets. AuCC (2014)